Headquarters: Remote, United States

Director of Production Engineering 

Remote, United States

About this Position

Are you passionate about building the reliability, automation, and security foundations that let engineering teams move fast with confidence? At Legion, we are seeking a Director of Engineering, DevOps & SRE to lead the teams responsible for the availability, scalability, and security of our production environment. Our production infrastructure runs on AWS, leveraging services such as EKS, RDS, and a broad set of AWS-native technologies. You will partner closely with engineering and IT to build resilient systems, drive operational excellence, and ensure our platform meets the highest standards of security and compliance.

This is a hands-on leadership role where you'll spend ~20-30% of your time contributing directly to architecture, tooling, and incident response, and the rest driving vision, roadmap, and cross-team execution.

Responsibilities

• Hire and build a globally-distributed DevOps/SRE engineering team. Recruit, mentor, and manage engineers, and foster a culture of ownership, collaboration, and continuous improvement.
• Own the reliability and infrastructure roadmap for our AWS-based production environment, including EKS, RDS, and related AWS services, ensuring scalability, high availability, and cost efficiency.
• Lead the organization's security operations (SecOps) practice, including vulnerability management, threat detection, incident response, and remediation, to proactively identify and resolve security issues before they impact customers.
• Define and drive engineering OKRs for infrastructure reliability, automation, and security, and track progress against measurable outcomes.
• Champion observability and alerting best practices (e.g., Datadog), including automating alert triage and response to reduce mean-time-to-resolution.
• Solid understanding of agentic AI infrastructure and how AI agentic workflows apply to SDLC and DevOps processes (e.g., automated investigation, remediation, and PR-generation pipelines).
• Drive Infrastructure-as-Code, CI/CD, and automation practices to increase engineering velocity and reduce operational toil.
• Work closely with engineering and IT teams to align on infrastructure standards, access controls, tooling, and compliance requirements across the organization.
• Ensure the platform meets the highest standards of security, compliance, and data protection; implement and maintain robust security controls and audit-readiness.
• Lead and participate in the Incident Management on-call rotation, working with SRE and development teams to meet and exceed availability goals.
• Stay current on cloud, DevOps, and security best practices, and provide technical guidance and thought leadership to the broader engineering organization.

Required Qualifications

• 8-12 years of experience in DevOps, Site Reliability Engineering, or production infrastructure roles, including people management experience.
• Deep hands-on experience running production workloads on AWS, including EKS (Kubernetes), RDS, and other core AWS services (e.g., VPC, IAM, Lambda, S3).
• Demonstrated experience running security operations (SecOps) — vulnerability management, incident response, and remediation of production security issues.
• 5+ years of experience leveraging observability platforms (e.g., Datadog, Prometheus, Grafana) to drive reliability, performance, and alerting improvements.
• Strong experience with Infrastructure-as-Code (e.g., Terraform, CloudFormation) and CI/CD automation.
• Proficiency in at least one of Go, Python, or Bash, with day-to-day use of Git and test automation pipelines.
• Hands-on experience operating Linux/Unix production platforms (Amazon Linux, Ubuntu, RHEL/CentOS).
• Proven track record partnering cross-functionally with engineering and IT teams to align on infrastructure, tooling, and security standards.
• Demonstrated experience leading incident management and on-call practices for high-availability production systems.
• Bachelor's degree in Computer Science, Engineering, or related field required; Master's degree preferred.

Preferred Qualifications

• Experience with major cloud providers beyond AWS, such as Google Cloud Platform or Oracle Cloud Infrastructure (OCI).
• Relevant security certifications (e.g., CISSP, AWS Security Specialty, CKS).
• Experience with compliance frameworks such as SOC 2, ISO 27001, or HIPAA.
• 3+ years of experience with Kubernetes or other containerization/orchestration platforms at scale.
• Experience with Kubernetes-native delivery tooling, including Argo Workflows and Helm.
• 5+ years of experience leading teams in an agile/scrum environment.
• Experience building or scaling automated investigation and remediation pipelines for production error classes.

COMPENSATION & BENEFITS

Salary Range: Base Salary Range  $220,000 - $265,000 + Bonus + Stock Equity

At Legion, we offer competitive compensation and benefits packages to all employees. As a fully remote employer, pay for positions is determined using local, national, and industry-specific survey data. 

Our posted salary range is done so in good faith based on national data and may be refined for a candidate's region/town/cost of living. We strive to make competitive offers that allow employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and the internal equity for the same position within the company. 

Benefits include, but are not limited to:

• $0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment
• 401k plan
• Discretionary Paid Time Off and Paid Holidays
• Parental Leave 
• Equity 
• Monthly Wellness Reimbursement
• Monthly Lunch on Legion

ABOUT LEGION

Join Legion's mission to turn hourly jobs into good jobs. We're a remote, mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission.

Legion Technologies delivers the industry’s most innovative workforce management platform. It enables businesses to maximize labor efficiency and employee engagement simultaneously. The award-winning, AI-driven Legion WFM platform is intelligent, automated, and employee-centric. It’s proven to deliver 13x ROI through schedule optimization, reduced attrition, increased productivity, and increased operational efficiency. Legion delivers cutting-edge technology in an easy-to-use platform and mobile app that employees love. 

If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling.

BACKGROUND AND OPPORTUNITY 

There are almost 75 million hourly workers in the United States, representing more than half of the entire workforce. Historically, managing hourly employees has been difficult due to high attrition (average of 60%) and high replacement costs (average of $3,200 per employee in retail). The ongoing labor shortage and competition from the gig economy make it more difficult to attract and retain hourly employees. The top reasons hourly employees leave their jobs are a lack of schedule empowerment, poor communication with employers, and an inability to get paid early. Gen Z and the millennial workforce demand gig-like flexibility, modern technology, and compelling work options. Legion’s mission is to turn hourly jobs into good jobs, serving the hourly workers who make up the majority of the US workforce. We believe in empowering employees and helping employers be efficient and innovative by enabling intelligent automation powered by Legion’s Workforce Management platform to optimize labor efficiency and enhance the employee experience simultaneously. Legion WFM was built for the cloud with AI at the core and designed to handle the complexity of modern businesses and meet the needs of today’s hourly employees.  Our team is comprised of dedicated individuals from all backgrounds and experiences, globally distributed across all time zones.

For more information, visit https://legion.co 

EQUAL EMPLOYMENT OPPORTUNITY

Legion Technologies is proud to be an equal-opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

DISABILITY ACCOMMODATION

For individuals with disabilities who need additional assistance at any point in the application and interview process, please email recruiting@legion.co 

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Legion recruiting email communications will always come from the @legion.co domain. Any outreach claiming to be from Legion via other sources should be ignored. If you are uncertain whether you have been contacted by an official Legion employee, reach out to recruiting@legion.co

 

Legion is an equal opportunity employer. All applicants will be considered for employment without attention to race, religion, color, sex, sexual orientation, gender identity, age, national origin, veteran, disability status, or any other basis covered by appropriate law.

How We Determine What We Pay

As a global employer, Legion determines pay for positions using local, national, and industry-specific survey data. We evaluate external equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living. For new hires, we strive to make competitive offers allowing the new employee room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. An employee/candidate with a stronger skill set will receive higher pay.

Job Applicant Privacy Policy

This Job Applicant Privacy Policy (“Policy”) describes how Legion Technologies, Inc. (“Legion”, “we”, “us” and “our”) collects, uses, and discloses “personal information” as defined under California law from and about job applicants who are residents of California.

This Policy does not apply to our handling of data gathered about you in your role as a user of our consumer-facing services. When you interact with us as in that role, the Legion Privacy Policy applies.

1. Types of Personal Information We Handle

   We collect, store, and use various types of personal information through the application and recruitment process. We collect such information either directly from you or (where applicable) from another person or entity, such as an employment agency or consultancy, background check provider, or other referral sources. This information includes:

   • Identification and contact information, and related identifiers such as full name, date and place of birth, citizenship and permanent residence, home and business addresses, telephone numbers, email addresses, and such information about your beneficiaries or emergency contacts.
   • Professional or employment-related information, including:
     • Recruitment, employment, or engagement information such as application forms and information included in a resume, cover letter, or otherwise provided through any application or engagement process; and copies of identification documents, such as driver’s licenses, passports, and visas; and background screening results and references.
     • Career information such as job titles; work history; work dates and work locations; information about skills, qualifications, experience, publications, speaking engagements, and preferences; and professional memberships
   • Education Information such as institutions attended, degrees, certifications, training courses, publications, and transcript information.
   • Legally protected classification information such as race, sex/gender, religious/ philosophical beliefs, gender identity/expression, sexual orientation, marital status, military service, nationality, ethnicity, request for family care leave, political opinions, and criminal history.
   • Other information such as any information you voluntarily choose to provide in connection with your job application.

2. How We Use Personal Information

   We collect, use, share, and store personal information from job applicants for our and our service providers’ business and operational purposes in the recruitment process such as: processing your application, tracking your application through the recruitment process, contacting references with your authorization, conducting background checks you authorize, and making hiring decisions. We will also use job applicant information for internal analysis purposes to understand the applicants who apply and to improve our recruitment process. We may sometimes need to use applicant information for legal purposes, such as in connection with any challenges made to our hiring decisions.

3. With Whom We Share Personal Information

   We will disclose job applicant personal information to the following types of entities or in the following circumstances (where applicable):

   • Internally: to other Legion personnel involved in the recruiting and hiring process.
   • Vendors: such as technology service providers, travel management providers, human resources suppliers, background check companies, and employment agencies or recruiters, where applicable.
   • Legal Compliance: when required to do so by law, regulation, or court order or in response to a request for assistance by the police or other law enforcement agency.
   • Litigation Purposes: to seek legal advice from our external lawyers or in connection with litigation with a third party.
   • Business Transaction Purposes: in connection with the sale, purchase, or merger.
4. How to Contact Us About this Policy – If you have any questions about this Policy, please contact privacy@legion.co.

To apply: https://weworkremotely.com/remote-jobs/legion-director-of-production-engineering

EverHealth - Software Engineer – RemoteEverCommerce (Nasdaq: EVCM) is a leading service commerce platform, providing vertically-tailored, integrated SaaS solutions that help more than 745,000 global service-based businesses accelerate growth, streamline operations, and increase retention.

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.

We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

The Vertical Experiences team builds the experiences that bring pets into the family — pet profiles, activity timelines, care coordination, lost pet alerts, and third-party integrations. We sit within Life360’s Devices org, but our work is squarely in the consumer product layer: building experiences that help families care for, track, and stay connected to their pets. We ship frequently, own our features end to end, and work closely with mobile, design, and product to define what pet ownership looks like inside Life360.

We are an AI-Native team. AI isn’t an add-on to how we work — it’s how we work. We’ve redesigned our development workflows around AI, using it as a first-class collaborator at every stage: spec writing, code generation, test authoring, incident triage, and system design. We ship faster and go deeper because of it. We’re looking for engineers who want to help define what AI-native development looks like for a high-traffic consumer product.

About the Job

As a Backend Engineer on the Vertical Experiences (Devices Cloud) team, you’ll build and operate the cloud services that power Life360’s connected devices. This role sits at the intersection of hardware, firmware, and mobile, translating real-world device signals into reliable, scalable backend systems. You’ll work on high-throughput, low-latency services that manage device state, ingest telemetry, and enable new device-driven features for millions of members worldwide. The work is hands-on, systems-oriented, and designed for engineers who enjoy solving messy, real-world problems at scale.

You don’t just use AI tools. You think natively in them. Your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. You’ll help establish and evolve AI-native engineering practices for the Vertical Experiences team while delivering features that ship to production weekly.

For candidates based in the US, the salary range for this position is $148,000 to $216,000 USD. For candidates based out of Canada, the salary range for this position is $171,500 to $201,000 CAD.

Note: Please be aware that the job title for positions in Canada will be “Developer” in lieu of “Engineer.“We take into consideration an individual’s background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

• Design, build, and maintain backend services that support device connectivity, telemetry ingest, health monitoring, and command/control operations.

• Collaborate with firmware, mobile, and product teams to define APIs and workflows for device features.

• Deliver scalable, resilient systems in a microservices environment running on AWS (EKS, Lambda, DynamoDB, SQS, etc.).

• Build and own data pipelines for high-throughput streams using Kafka or similar streaming tech.

• Instrument services for observability, reliability, and SLO compliance.

• Participate in on-call rotations and live incident response.

• Write clean, testable, performant code and help improve CI/CD and automation.

• Orchestrate AI coding agents daily for spec writing, code generation, test authoring, incident triage, PR review, and system design

What We’re Looking For

• Bachelor’s in Computer Science or equivalent experience.
• 5+ years experience building backend services in Java, Go, Python, or similar languages.
• Experience with microservices architecture, RESTful API design, and distributed systems.
• Strong skills with cloud infrastructure (AWS preferred), container orchestration, and deployments.
• Experience with databases (relational and/or NoSQL), caching layers, and event/streaming systems.
• Comfortable collaborating across teams and articulating technical tradeoffs.
• Hands-on agentic AI workflow experience.

Nice-to-Have

• Experience with IoT or telematics systems.
• Familiarity with Kafka, Kinesis, or other streaming platforms.
• Experience with high-frequency ingest systems and time-series data.

A background with observability tooling (Prometheus, Grafana, OpenTelemetry).

• Knowledge of SRE practices and automated testing frameworks.

AI-Native Expectations

We use AI coding tools as a professional standard on this team. Here’s what that means in practice:

• Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.
• Judgment and ownership: AI-generated code gets the same review you’d give any PR. You are accountable for everything you ship.
• Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team.
• Team leadership: You share what works. You automate prompting strategies that others can build on.
• Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team.

Our Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• Paid parental leave.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Mental Wellness Program & EAP.
• Flexible PTO and 12 company-wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.
• Free Tile Products.

Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.

• Be a Good Person — We have a team of high integrity people you can trust.
• Be Direct With Respect — We communicate directly, even when it’s hard.
• Members Before Metrics — We focus on building an exceptional experience for families.
• High Intensity, High Impact — We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

Hi there!

We’re SweedPos , a product-driven company building an all-in-one cannabis retail platform. We’re on the lookout for an Backend Engineer to join us remotely.

About Us

At Sweed, we’re reimagining how cannabis retailers operate. Our enterprise-grade platform combines POS, eCommerce, Marketing, Analytics and Inventory Management into a single, seamless solution—eliminating the need for multiple third-party tools.

We believe in simplicity, efficiency, and innovation. That’s why we build for scalability and performance, making life easier for cannabis retailers while driving real business growth.

Why We’re Doing This

At Sweed, we believe in the medicinal potential of cannabis. It has been shown to help with chronic pain, anxiety, depression, and many other conditions. Despite the lingering stigma, we see cannabis as a powerful tool for improving lives.

The industry is evolving rapidly, and we’re here to drive that transformation—making cannabis retail more efficient, accessible, and customer-friendly.

Where We Are Now

We’ve been on the market for 7 years, continuously growing and refining our product.

Our focus is on earning customer trust, which means constantly improving our delivery processes and rolling out new features. At the same time, we navigate the complex legal landscape of the cannabis industry, ensuring our platform remains compliant and future-proof.

Team Structure

Our total team size is over 200 people:

The development team is distributed globally and organized into cross-functional product teams. These teams typically consist of 8–12 members, including front-end and back-end developers, QA specialists, and analysts.

Each team is led by a Team Lead and a Product Owner, ensuring effective collaboration and clear direction.

Meanwhile, our CEO, account managers, and customer success team are based in the USA, working closely with us to align product development with business and user needs.

What You’ll Do

• Build and maintain backend services and APIs used across the Sweed platform.

• Work with C# / .NET, relational databases, queues, caching, and integrations.

• Improve performance, reliability, observability, and maintainability of production systems.

• Contribute to the evolution of our architecture, including microservices and parts of the existing monolith.

• Own technical solutions from design to production, together with product, frontend, QA, DevOps, and other backend engineers.

• Use AI tools where they help you move faster, understand context, and maintain quality.

What You’ll Be Working On

Depending on the team and product area, you may work on:

• internal and external APIs;

• eCommerce, checkout, order management, payments, inventory, or reporting flows;

• performance and latency improvements in critical customer journeys;

• service refactoring, technical debt reduction, and monolith decomposition;

• asynchronous communication, background processing, queues, and caching;

• observability, troubleshooting, and production reliability.

Tech Stack

C#, .NET 10, ASP.NET Core, Microservices, gRPC, MS SQL, PostgreSQL, RabbitMQ, Redis, SignalR, EF Core, Dapper, Docker, Kubernetes, AWS, Grafana, Git, GitLab CI/CD.

What We’re Looking For

• Strong commercial backend experience with C# and .NET.

• Experience building and supporting production systems.

• Good understanding of backend architecture, APIs, databases, and distributed systems.

• Experience with microservices, queues, caching, async processing, or background jobs.

• Ability to troubleshoot production and performance issues.

• Ownership mindset: you can clarify requirements, make technical decisions, and drive solutions to production.

• Good communication skills and ability to collaborate across teams.

• English level sufficient for written communication and occasional calls.

• Experience using AI tools in software development workflows.

Nice to Have

• Experience with high-load systems.

• Experience in eCommerce, payments, checkout, order management, inventory, or reporting.

• Experience decomposing monoliths or improving legacy systems.

• Experience with Kubernetes, CI/CD, observability, or monitoring.

• Experience working in product companies or startup-like environments.

Working Style

• Two-week sprint cycles.

• Regular technical discussions, planning sessions, and retrospectives.

• Cross-functional collaboration with product, QA, frontend, analytics, and DevOps.

• Remote-first setup with flexible working hours.

The team also has a rotating weekly support duty approximately once every two months. During these weeks, engineers help investigate and route technical issues during normal working hours. This is not an on-call rotation.

What We Offer

• Salary in USD (B2B contract with the US company)

• 100% remote – We’re a remote-first company, no offices needed!

• Flexible working hours – Core team time: 10:00-16:00 CET (flexible per team)

• 20 paid vacation days + 12 holidays per year

• 3 sick leave days

• Medical insurance after probation

• Equipment reimbursement (laptops, monitors, etc.)

Hiring Process

• Intro Call with Sweed People Team (up to 40 min)

• System Design (90 min)

• Technical Interview (90 min)

• Final interview (60 min)

Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence.  We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and discoveries in the fraud detection space into reality. Our customers range from innovative startups to leading enterprise companies, including Plaid, Dropbox, and Booking.com.

Fingerprint is a globally dispersed, 100% remote company. We were named on on the 2026 Forbes Best Startup Employers list and ranked #803 on the 2026 Inc. 5000 list of America’s fastest-growing private companies.

We have raised $77M and are backed by Craft Ventures (Tesla, Facebook, Airbnb ), Nexus Venture Partners ( Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures ( Redis, Rollbar,  Gradle).

About the role

Are you a systems-minded engineer who is happiest when production tells you something you didn’t expect? Do you care less about how a system looks on a diagram than about how it behaves at 3am under load it wasn’t designed for? Do you want to own reliability for a platform that answers millions of identification requests a day, where being wrong or being slow is a customer-visible event? If so, we have the perfect opportunity for you.

We’re looking for a Senior Site Reliability Engineer to join our Infrastructure team and take ownership of how our platform behaves in production. This is a hands-on engineering role, not an oversight one — you’ll write code and infrastructure, own systems end to end, and be measured by whether the things you own stay fast, available, and predictable as we grow.

You’ll work across observability, incident response, capacity and performance, change safety, and the tooling that makes all of it routine. You’ll define what “reliable” means for the critical paths you own, instrument them so we know before customers do, and partner with product engineering teams to make their services operable by design rather than by heroics.

Responsibilities

• Own the reliability of core production systems end to end — you instrument them, set targets for them, operate them, and are accountable for how they behave under real traffic.
• Define and maintain SLIs and SLOs for the critical paths you own, wire them into dashboards and alerts, and use error budget burn as the evidence base for what gets fixed next.
• Drive alert quality: raise signal, kill noise, and close the gap where customers notice a problem before our monitoring does. Anomaly and correctness detection matter as much as uptime.
• Take a lead role in incident response — investigate systematically across service boundaries, restore service, and write postmortems that produce follow-ups people actually complete.
• Build secure, resilient, and cost-efficient infrastructure, with explicit attention to failure modes: timeouts and retries, backpressure and load shedding, graceful degradation, and blast radius containment.
• Do capacity and performance work with real data — load testing, profiling, saturation analysis, and headroom planning ahead of growth rather than after an incident.
• Improve change safety: progressive delivery, automated rollback, meaningful pre-production signal, and deployment practices that make shipping boring.
• Manage infrastructure through code and configuration (we primarily use Terraform), consistently applying patterns that align with our overall service architecture.
• Design, write, and ship software and developer-facing tooling that reduces toil and makes operating services straightforward for the engineers who own them.
• Run deliberate failure testing — game days and chaos exercises, staging first — to find the gaps and safe limits before customers do.
• Partner with product engineering teams on production readiness for new and high-risk services: capacity, failure modes, rollback plans, runbooks, and on-call handoff. Teach through review rather than gatekeeping.
• Participate in the on-call rotation, and improve it: better runbooks, clearer escalation, less pager fatigue for everyone in it.
• Approach all engineering work with a security lens — actively looking for vulnerabilities in your own work and in peer reviews.
• Act as the go-to person for hard production problems in your area, and mentor engineers through code review, pairing, and design feedback so operational knowledge doesn’t silo.

Qualifications

• 6–10 years of experience in SRE, production engineering, infrastructure, or backend engineering within primarily cloud-based environments (AWS preferred), with meaningful time spent responsible for systems in production.
• A track record of owning a system end to end — you’ve designed something significant, shipped it, operated it, and lived with the consequences when it misbehaved.
• Hands-on experience defining and operating against SLIs, SLOs, and error budgets — not just reading the book, but getting targets adopted and acted on.
• Strong incident skills: you’ve led or been a primary responder on high-severity, customer-facing incidents, and you’ve improved how an organization learns from them.
• Depth in distributed systems failure modes in high-throughput, low-latency environments — cache and database saturation, cascading failure, retry storms, capacity limits, degradation and load shedding.
• Depth in cloud infrastructure fundamentals: networking, load balancing, containerization (EKS/Kubernetes), and distributed systems.
• Strong hands-on experience managing infrastructure through code and configuration (Terraform or equivalent).
• Solid programming skills in Go, Python, or a comparable language — you write real, production-ready software and can ship the fix rather than only recommend it.
• Fluency with observability tooling (Datadog, Prometheus, Grafana, OpenTelemetry, or similar), including instrumenting systems yourself rather than inheriting dashboards.
• Hands-on experience operating Redis/ElastiCache in production — including cluster/shard management, failover behavior, memory eviction policies, and scaling strategies. This is a current skill gap on our team, so depth here is a strong differentiator.
• Fluency with software engineering best practices: source control, code review, comprehensive test coverage across edge cases and errors, and safe deployment.
• A high level of personal ownership and autonomy, with real experience working without clearly defined requirements.
• Pragmatism over purity — you know reliability competes with delivery, can make the case for the right investment at the right time, and can say when a risk is acceptable.
• Strong written and verbal communication in English — clear technical design docs, PR reviews, incident updates, and postmortems that bring engineers outside your team along on a decision.
• AI-native by default. You use AI tools as a normal part of how you investigate incidents, analyze telemetry, write runbooks, and build tooling — and you have opinions, from experience, about where they help and where they don’t yet.

Compensation & Transparency

For US-based employees, the cash compensation range for this role is $152,000 – $205,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US.  Offers vary depending on, but not limited to, relevant experience, education, certifications/licenses, skills, training, and market conditions.

Due to regulatory and security reasons, there’s a small number of countries where we cannot have Fingerprint teammates based. Additionally, because Fingerprint is an all-remote company and people can join our workforce from almost any country, we do not sponsor visas. Fingerprint teammates need to be authorized to work from their home location.

We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply.

If you are applying as a resident of California, please read our CCPA notice here.

If you are applying as a resident of the EU, please read our GDPR notice here.

• * We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.

Due to regulatory and security reasons, there’s a small number of countries where we cannot have Fingerprint teammates based. Additionally, because Fingerprint is an all-remote company and people can join our workforce from almost any country, we do not sponsor visas. Fingerprint teammates need to be authorized to work from their home location.

We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply.

If you are applying as a resident of California, please read our CCPA notice here.

If you are applying as a resident of the EU, please read our GDPR notice here.

**We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.

We are looking for a skillful Backend Developer to join one of our teams working with US clients - referrals from the high-end American IT market.

Our tech stack is built around React, Node.js and TypeScript. We are working with well-established companies and sometimes startups in their early stages (MVPs), which makes the job full of diversity and exciting challenges while crafting cutting-edge solutions.

Enjoy the flexibility of working within the Polish time zone and collaborate with clients from diverse industries such as FinTech, SportsTech, MedTech, and many others.

Salary: PLN 10.000 - 18.000 + VAT (B2B)

Offer:

• Required skills: 2+ years of commercial experience in Node.js, SQL and NoSQL DBs, knowledge of JS frameworks (e.g Express.js, NestJS), experience in TypeScript, SOLID and KISS, knowledge about design and architecture patterns, knows how and why Docker and GitHub Actions works, basic usage of AWS services, English B2, Polish C1
• Offer: B2B/UZL, paid days off, 100% remote (or hybrid/onsite - as you prefer), Polish time zone, flexible hours, full-time position, long-term contract, Scrum Teams
• Perks and Benefits: learning budget, budget for health insurance and sports, regular feedback, support, and real learning opportunities, access to internal Design Talks and Tech Talks, and more
• Tools you’ll use: Apple MacBook Pro, Slack, GSuite, GitHub, Jira, Coda, FigJam, Claude Code

Your future tasks and duties:

• Writing readable, testable and easy-to-maintain JS/TS code with OOP flavor
• Taking ownership of backend features from understanding requirements through implementation, testing and deployment
• Writing documentation for delivered code and technical decisions
• Code review of other developers in the team, including constructive feedback and knowledge sharing
• Direct involvement with the design and modification of basic DB structures and API contracts
• Propose pragmatic improvements and proactive ideas/solutions to enhance the product and team’s work processes
• Share insights with the team to diagnose issues, communicate risks and focus on solutions
• Actively participate in project discussions, refinements and technical decision-making
• Listen to the client’s needs and, after consulting the team, suggest practical solutions
• Support less experienced team members through code review, explanations and pair programming

Use AI tools responsibly in daily work, verifying and adapting results to production standards

About you - Tech skills & Experience:

• 2+ years of commercial experience in Node.js
• Good experience with at least one Node.js backend framework (e.g. Express.js, NestJS, Fastify, etc) - you know most of its basic APIs/features, worked on at least 1-2 projects involving such technologies
• Strong proficiency in TypeScript. You have practical experience with static typing, advanced types, and configuring TS compilers, treating it as your primary language to build robust and type-safe backend applications
• Potentially worked with NoSQL databases and/or in-memory databases and utilized them as a data store
• Worked with SQL databases (integration-wise and as a basic design skill) with ORM or query builder tool (ie. Prisma, Knex)
• Understands how AI/LLMs work in practice (context, prompts, limitations) and has hands-on experience contributing to AI-powered backend features (e.g. integrating LLM APIs, basic RAG flows, or simple agent-style workflows)
• Integrates AI seamlessly into daily development workflow - uses it for prototyping, boilerplate, and tests, while always verifying and adapting output to production-quality standards

About you - Soft Skills:

• English level B2 to cooperate with American clients
• Polish level C1 to communicate easily within the team
• Open-minded to new challenges (e.g. different frameworks)
• Understand the significance of MVP and prioritize the pursuit of excellence and high-quality outcomes, even amid tight project timelines.
• Communicate with the team to efficiently translate business complexities (user stories/tasks) into solutions (results/estimations)
• Staying on top with trends/news, sharing them, teaching others and aiming for the best quality solutions
• Strong problem-solving abilities to diagnose issues, suggest solutions, and make decisions based on project requirements.

Nice to have:

• Worked in Agile/Scrum on a daily basis consisting of people with similar skills and monitoring code quality on a daily basis
• Basic experience with AWS - used some services in specific cases
• Basic experience with Docker - know how to prepare and debug the environment and connect things up to work locally
• Worked in the very beginning of the product development/creation stage
• Understand the significance of MVP and aim to deliver top-notch results, even amid tight project timelines

Recruitment Process:

• CV Review
• Phone call with our Recruiter (15min)
• Soft-skills interview with our Recruiter (1h)
• Technical interview with our Senior Specialists (2h)
• Decision and feedback 🥳

10,000 zł - 16,000 zł a month

Salary: PLN 10.000 - 16.000 + VAT (B2B)

Meaningful projects, top-notch experts and value-driven workplace

Sound good?

Apply now!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Description

Location: Fully Remote from India

Employment Type: Long-Term Contract

Shift: 2.00 PM – 11.00 PM IST

\*\*\* MUST HAVE Experience***

1.) Hands ON Automation Testing (exp in maintaining/updating automation scripts written by others/self & building automation scripts from scratch

2.) Experience in testing custom .NET / Microsoft SharePoint applications

About Paralucent

Paralucent brings clarity to complex work, helping organizations move beyond complexity toward clarity through practical, thoughtful technology solutions.

Paralucent Core Values

We’re Driven to deliver real outcomes, and we Take Ownership from first question to final result. We’re Creative Problem Solvers who cut through complexity to bring clarity, and we’re Humbly Confident (high standards, low ego, always learning). Above all, we’re Customer Centric: we build with empathy, partner closely, and measure success by the impact we create for the people who rely on what we deliver.

Why This Role Matters

You’re the quality gate between Tier 2 fixes and production stability. You’ll turn fast-moving fixes and releases into verified outcomes, preventing repeat incidents, reducing rework, and helping releases land cleanly across a mixed portfolio of vendor-supported SaaS and custom .NET / Microsoft SharePoint applications.

Requirements

QA Analyst / Software Tester (Tier 2 Support – Release & Defect Validation) (PL827)

Overview

We are seeking a QA Analyst / Software Tester for a consulting client. In this role, you will act as the quality gate for Tier 2 fixes, ensuring production stability, ensuring that fast-moving fixes and releases are thoroughly validated before deployment.

You will play a critical role in preventing repeat incidents, reducing rework, and ensuring smooth releases across a portfolio of vendor-supported SaaS solutions and custom .NET / Microsoft SharePoint applications.

Key Responsibilities

• Own Tier 2 validation: Reproduce reported issues, validate fixes, confirm acceptance criteria, and document clear test evidence.

• Perform regression and impact testing (manual and automated) to ensure fixes do not affect dependent workflows or systems.

• Support release validation by executing regression and smoke testing for patches, configuration changes, and maintenance releases.

• Manage defects end-to-end: log, track, retest, and communicate status and risks using tools such as Azure DevOps, JIRA, or TestRail.

• Build and maintain lean, reusable regression test packs and incident-based test scenarios to improve QA efficiency and consistency.

Qualifications

• 10+ years of experience in QA/testing in enterprise environments (production/operational support experience preferred).

• Strong expertise in manual and automation testing for defect validation and release cycles, including targeted retesting and regression.

• Experience working with .NET and/or Microsoft SharePoint applications.

• Familiarity with vendor-supported SaaS applications, including validation of vendor fixes and coordination with support teams.

• Experience with defect tracking and test management tools (e.g., Azure DevOps, JIRA, TestRail).

• Experience leveraging AI tools to improve productivity in test design, defect analysis, and validation activities is an asset.

• Strong documentation skills with the ability to provide clear, stakeholder-ready reporting (test evidence, risks, release readiness).

• Experience in writing, updating, debugging and executing automation scripts

• Experience in automation tools like Playwright-Typescript, Selenium- Java, Eclipse, VS Code, etc.

• Experience in managing a team of QAs, assigning and tracking their work and output (Optional - will be good to have)

Nice to Have

• Exposure to ITSM tools (e.g., ServiceNow) is an asset. The role involves working with tickets for defect validation, and training will be provided.

• Exposure to tools such as Power BI, GitHub Enterprise, and GitHub Copilot.

• Experience working in structured release and support environments.

Description

Location: Remote / PL

Stage: Early-stage startup

Product: Robotics automation solutions

About the role

We are looking for a Senior Machine Learning Engineer (Robotics & Computer Vision) to join the technical team of a startup building cutting-edge automation solutions. Working closely with the CTO & Co-founder, you will own the product’s ML core and shape its technical direction as the company scales.

To be clear: This is a highly hands-on role, not a corporate, LLM-wrapper, or prompt-engineering position.

We are looking for an ML/Deep Learning/Vision practitioner with a strong mathematical background who writes custom training loops, designs architectures (PyTorch/TensorFlow), and optimizes models for edge inference. As a primary builder from day one, your mission is to train deep learning models from scratch, develop robust computer vision pipelines, and integrate these capabilities into a commercially viable, physical robotics product within a high-performing engineering culture.

Your responsibilities

• Owning the AI/ML/Vision core of the product, working closely with the CTO & Co-founder to align it with the overall technical strategy,

• Writing custom training loops, designing and implementing neural network architectures (e.g., in PyTorch), and managing the end-to-end lifecycle from raw data processing to edge deployment,

• Building the AI/ML/Vision components of the MVP (managing the end-to-end AI/ML model lifecycle, from architecture design to training and fine-tuning and - where relevant - hardware control interfaces),

• Proposing and helping define the AI/ML stack and model architecture,

• Monitoring AI, computer vision, and robotics trends to maintain a competitive technological edge,

• Working closely with the CTO and, as the team grows, mentoring engineers joining the AI/ML function,

• Translating customer feedback and market needs into robust AI/ML technical requirements,

• Contributing to an internal culture focused on code quality, ownership, rapid iteration, and high execution standards.

Who we are looking for (must-have)

• 3+ years of end-to-end Deep Learning experience: From data processing and architecture design to training models from scratch and deep fine-tuning (no API prompting).

• Proven track record of engineering advanced Computer Vision systems within the industrial automation sector.

• Advanced framework proficiency: Deep understanding of modern DL tools (PyTorch preferred), including writing custom data loaders and loss functions.

• Computer Vision expertise: Hands-on background with CNNs, ViTs, object detection, and segmentation.

• Solid software engineering foundation: Proven track record of building and shipping ML components in real, production-ready products.

• Startup mindset: Pragmatic, analytical, and comfortable in fast-paced, high-uncertainty environments where rapid execution beats over-engineered code.

• Language skills: Fluent Polish and English (spoken and written).

Nice to have

• Experience with hardware control/integration of AI models with physical systems (robotics, embedded systems, IoT),

• Experience with robotics technologies (ROS/ROS2, simulation environments, control systems),

• Experience in robotics automation platforms, cloud-edge architecture, or industrial automation,

• Background in deep-tech, robotics, or engineering-driven startups,

• Prior leadership experience (Lead Engineer, Tech Lead) is a plus, though not required.

What we offer

• Key technical role of a robotics startup, with real influence over the AI/ML direction of the product,

• Opportunity to build the AI/ML core of a robotics startup from scratch,

• Remuneration: at least PLN 18 000 net B2B + VAT,

• Equity/incentive package as the company and role grow,

• Support from an experienced startup studio and capital group,

• Access to industry experts and startup-building know-how,

• Fast decision-making and a high-impact environment.

Red Sky is conducting this recruitment process. The cooperation concerns a newly established start-up.

Recruitment process

1. Tech Interview (~ 60 min.)

2. Technical assignment

3. Discussion of the technical task

4. Interview with the Investor (~45 min)

5. Agreeing on the terms of cooperation (remuneration)

Do you thrive on taking complex ML models out of notebooks and building production-grade systems that run at scale?

Are you looking for a high-impact, autonomous role where you directly own core subsystems end-to-end?

Great, then please read on as we have a role for you.

The role is based in Europe.

Our clients mission is to fundamentally change the productivity landscape around email, calendars and note taking by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting.

Our clients engineering culture is focused on delivering high reliability for long-running workflows, maintaining persistent context, and executing real-world tasks flawlessly. By anchoring their products in practical utility and robust architecture, they are successfully minimizing model hallucinations. Ultimately, the goal is to automate personal organization so people can focus their energy on what truly matters.

Key Responsibilities

• Design and build the core machine learning systems driving a proactive, forward-looking AI platform.
• Take complete end-to-end ownership of your projects, from data curation and model training to evaluation, inference, and continuous iteration.
• Translate cutting-edge research concepts into robust, highly reliable systems ready for production environments.
• Leverage live production signals and data to troubleshoot complex model anomalies and system bottlenecks.
• Drive a fast-paced development loop—deploy systems, analyze real-world performance metrics, refine approaches, and repeat swiftly.
• Partner seamlessly with research, engineering, and product teams to ensure technical milestones translate directly into tangible user value.
• Provide hands-on mentorship to fellow engineers, conduct rigorous reviews, and set a high standard for technical judgment through your own execution.
• Optimize model architectures to strictly balance latency, computational cost, system reliability, and safety at massive scale.

To be a good fit for the Senior Machine Learning role, you must have:

• Minimum of 5 years experience in a Machine Learning role
• Experience with Python, PyTorch / JAX, GPU-based training and inference systems
• Demonstrated experience building, deploying, and maintaining machine learning systems actively used in real-world environments.
• Strong practical understanding of how modern ML models behave and fail in live production, alongside the ability to effectively mitigate edge cases.
• Track record of writing clean, robust, production-grade code with an architectural mindset that goes far beyond simple scripting.
• High degree of self-direction and initiative, with a proven ability to independently drive complex technical initiatives from concept to launch.
• Ability to absorb new concepts rapidly, communicate technical trade-offs clearly, and continuously improve code and systems through iterative feedback loops.

Reasons to join:

• Small founding team, building a greenfield AI email product from scratch.
• High‑caliber engineers from top tech companies; very high technical bar.
• Fully remote, global team, strong ownership, and visible impact.
• Very strong reward culture (including significant equity and high comp flexibility

Sounds interesting? Send us your CV by applying to this page

The provision of personal data by you is fully voluntary and the basis for their processing is your consent. We have prepared some necessary information, you can find in document: “Information regarding the processing of your personal data”. There you will find how your Personal Data is being processed and what your rights are in connection to this.

The personal data will be processed by Sowelo Consulting spółka z ograniczoną odpowiedzialnością with its registered seat in Cracow (LLC) registered in National Court Register (KRS) under no. 0000671136, our Employees and Subcontractors (jointly referred to as the Company).

Sowelo Consulting sp. z o.o. (LLC) is entered in the register of employment agencies under the number: 35288

Our candidate selection process relies entirely on human judgment. We explicitly avoid using automated screening algorithms or AI-driven scoring systems for any part of the assessment. Every single profile is reviewed personally by our experienced recruiters, ensuring a thorough and unbiased consideration of your fit.

IT Recruitment Poland | Executive Search | Recruitment Process Outsourcing

Do you thrive on taking complex ML models out of notebooks and building production-grade systems that run at scale?

Are you looking for a high-impact, autonomous role where you directly own core subsystems end-to-end?

Great, then please read on as we have a role for you.

The role is based in Europe.

Our clients mission is to fundamentally change the productivity landscape around email, calendars and note taking by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting.

Our clients engineering culture is focused on delivering high reliability for long-running workflows, maintaining persistent context, and executing real-world tasks flawlessly. By anchoring their products in practical utility and robust architecture, they are successfully minimizing model hallucinations. Ultimately, the goal is to automate personal organization so people can focus their energy on what truly matters.

Key Responsibilities

• Design and build the core machine learning systems driving a proactive, forward-looking AI platform.
• Take complete end-to-end ownership of your projects, from data curation and model training to evaluation, inference, and continuous iteration.
• Translate cutting-edge research concepts into robust, highly reliable systems ready for production environments.
• Leverage live production signals and data to troubleshoot complex model anomalies and system bottlenecks.
• Drive a fast-paced development loop—deploy systems, analyze real-world performance metrics, refine approaches, and repeat swiftly.
• Partner seamlessly with research, engineering, and product teams to ensure technical milestones translate directly into tangible user value.
• Provide hands-on mentorship to fellow engineers, conduct rigorous reviews, and set a high standard for technical judgment through your own execution.
• Optimize model architectures to strictly balance latency, computational cost, system reliability, and safety at massive scale.

To be a good fit for the Senior Machine Learning role, you must have:

• Minimum of 5 years experience in a Machine Learning role
• Experience with Python, PyTorch / JAX, GPU-based training and inference systems
• Demonstrated experience building, deploying, and maintaining machine learning systems actively used in real-world environments.
• Strong practical understanding of how modern ML models behave and fail in live production, alongside the ability to effectively mitigate edge cases.
• Track record of writing clean, robust, production-grade code with an architectural mindset that goes far beyond simple scripting.
• High degree of self-direction and initiative, with a proven ability to independently drive complex technical initiatives from concept to launch.
• Ability to absorb new concepts rapidly, communicate technical trade-offs clearly, and continuously improve code and systems through iterative feedback loops.

Reasons to join:

• Small founding team, building a greenfield AI email product from scratch.
• High‑caliber engineers from top tech companies; very high technical bar.
• Fully remote, global team, strong ownership, and visible impact.
• Very strong reward culture (including significant equity and high comp flexibility

Sounds interesting? Send us your CV by applying to this page

The provision of personal data by you is fully voluntary and the basis for their processing is your consent. We have prepared some necessary information, you can find in document: “Information regarding the processing of your personal data”. There you will find how your Personal Data is being processed and what your rights are in connection to this.

The personal data will be processed by Sowelo Consulting spółka z ograniczoną odpowiedzialnością with its registered seat in Cracow (LLC) registered in National Court Register (KRS) under no. 0000671136, our Employees and Subcontractors (jointly referred to as the Company).

Sowelo Consulting sp. z o.o. (LLC) is entered in the register of employment agencies under the number: 35288

Our candidate selection process relies entirely on human judgment. We explicitly avoid using automated screening algorithms or AI-driven scoring systems for any part of the assessment. Every single profile is reviewed personally by our experienced recruiters, ensuring a thorough and unbiased consideration of your fit.

IT Recruitment Poland | Executive Search | Recruitment Process Outsourcing

Do you thrive on taking complex ML models out of notebooks and building production-grade systems that run at scale?

Are you looking for a high-impact, autonomous role where you directly own core subsystems end-to-end?

Great, then please read on as we have a role for you.

The role is based in Europe.

Our clients mission is to fundamentally change the productivity landscape around email, calendars and note taking by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting.

Our clients engineering culture is focused on delivering high reliability for long-running workflows, maintaining persistent context, and executing real-world tasks flawlessly. By anchoring their products in practical utility and robust architecture, they are successfully minimizing model hallucinations. Ultimately, the goal is to automate personal organization so people can focus their energy on what truly matters.

Key Responsibilities

• Design and build the core machine learning systems driving a proactive, forward-looking AI platform.
• Take complete end-to-end ownership of your projects, from data curation and model training to evaluation, inference, and continuous iteration.
• Translate cutting-edge research concepts into robust, highly reliable systems ready for production environments.
• Leverage live production signals and data to troubleshoot complex model anomalies and system bottlenecks.
• Drive a fast-paced development loop—deploy systems, analyze real-world performance metrics, refine approaches, and repeat swiftly.
• Partner seamlessly with research, engineering, and product teams to ensure technical milestones translate directly into tangible user value.
• Provide hands-on mentorship to fellow engineers, conduct rigorous reviews, and set a high standard for technical judgment through your own execution.
• Optimize model architectures to strictly balance latency, computational cost, system reliability, and safety at massive scale.

To be a good fit for the Senior Machine Learning role, you must have:

• Minimum of 5 years experience in a Machine Learning role
• Experience with Python, PyTorch / JAX, GPU-based training and inference systems
• Demonstrated experience building, deploying, and maintaining machine learning systems actively used in real-world environments.
• Strong practical understanding of how modern ML models behave and fail in live production, alongside the ability to effectively mitigate edge cases.
• Track record of writing clean, robust, production-grade code with an architectural mindset that goes far beyond simple scripting.
• High degree of self-direction and initiative, with a proven ability to independently drive complex technical initiatives from concept to launch.
• Ability to absorb new concepts rapidly, communicate technical trade-offs clearly, and continuously improve code and systems through iterative feedback loops.

Reasons to join:

• Small founding team, building a greenfield AI email product from scratch.
• High‑caliber engineers from top tech companies; very high technical bar.
• Fully remote, global team, strong ownership, and visible impact.
• Very strong reward culture (including significant equity and high comp flexibility

Sounds interesting? Send us your CV by applying to this page

The provision of personal data by you is fully voluntary and the basis for their processing is your consent. We have prepared some necessary information, you can find in document: “Information regarding the processing of your personal data”. There you will find how your Personal Data is being processed and what your rights are in connection to this.

The personal data will be processed by Sowelo Consulting spółka z ograniczoną odpowiedzialnością with its registered seat in Cracow (LLC) registered in National Court Register (KRS) under no. 0000671136, our Employees and Subcontractors (jointly referred to as the Company).

Sowelo Consulting sp. z o.o. (LLC) is entered in the register of employment agencies under the number: 35288

Our candidate selection process relies entirely on human judgment. We explicitly avoid using automated screening algorithms or AI-driven scoring systems for any part of the assessment. Every single profile is reviewed personally by our experienced recruiters, ensuring a thorough and unbiased consideration of your fit.

IT Recruitment Poland | Executive Search | Recruitment Process Outsourcing

Do you thrive on taking complex ML models out of notebooks and building production-grade systems that run at scale?

Are you looking for a high-impact, autonomous role where you directly own core subsystems end-to-end?

Great, then please read on as we have a role for you.

The role is remote in Europe.

Our clients mission is to fundamentally change the productivity landscape around email, calendars and note taking by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting.

Our clients engineering culture is focused on delivering high reliability for long-running workflows, maintaining persistent context, and executing real-world tasks flawlessly. By anchoring their products in practical utility and robust architecture, they are successfully minimizing model hallucinations. Ultimately, the goal is to automate personal organization so people can focus their energy on what truly matters.

Key Responsibilities

• Design and build the core machine learning systems driving a proactive, forward-looking AI platform.
• Take complete end-to-end ownership of your projects, from data curation and model training to evaluation, inference, and continuous iteration.
• Translate cutting-edge research concepts into robust, highly reliable systems ready for production environments.
• Leverage live production signals and data to troubleshoot complex model anomalies and system bottlenecks.
• Drive a fast-paced development loop—deploy systems, analyze real-world performance metrics, refine approaches, and repeat swiftly.
• Partner seamlessly with research, engineering, and product teams to ensure technical milestones translate directly into tangible user value.
• Provide hands-on mentorship to fellow engineers, conduct rigorous reviews, and set a high standard for technical judgment through your own execution.
• Optimize model architectures to strictly balance latency, computational cost, system reliability, and safety at massive scale.

To be a good fit for the Senior Machine Learning role, you must have:

• Minimum of 5 years experience in a Machine Learning role
• Experience with Python, PyTorch / JAX, GPU-based training and inference systems
• Demonstrated experience building, deploying, and maintaining machine learning systems actively used in real-world environments.
• Strong practical understanding of how modern ML models behave and fail in live production, alongside the ability to effectively mitigate edge cases.
• Track record of writing clean, robust, production-grade code with an architectural mindset that goes far beyond simple scripting.
• High degree of self-direction and initiative, with a proven ability to independently drive complex technical initiatives from concept to launch.
• Ability to absorb new concepts rapidly, communicate technical trade-offs clearly, and continuously improve code and systems through iterative feedback loops.

Reasons to join:

• Small founding team, building a greenfield AI email product from scratch.
• High‑caliber engineers from top tech companies; very high technical bar.
• Fully remote, global team, strong ownership, and visible impact.
• Very strong reward culture (including significant equity and high comp flexibility

Sounds interesting? Send us your CV by applying to this page

The provision of personal data by you is fully voluntary and the basis for their processing is your consent. We have prepared some necessary information, you can find in document: “Information regarding the processing of your personal data”. There you will find how your Personal Data is being processed and what your rights are in connection to this.

The personal data will be processed by Sowelo Consulting spółka z ograniczoną odpowiedzialnością with its registered seat in Cracow (LLC) registered in National Court Register (KRS) under no. 0000671136, our Employees and Subcontractors (jointly referred to as the Company).

Sowelo Consulting sp. z o.o. (LLC) is entered in the register of employment agencies under the number: 35288

Our candidate selection process relies entirely on human judgment. We explicitly avoid using automated screening algorithms or AI-driven scoring systems for any part of the assessment. Every single profile is reviewed personally by our experienced recruiters, ensuring a thorough and unbiased consideration of your fit.

IT Recruitment Poland | Executive Search | Recruitment Process Outsourcing

Do you thrive on taking complex ML models out of notebooks and building production-grade systems that run at scale?

Are you looking for a high-impact, autonomous role where you directly own core subsystems end-to-end?

Great, then please read on as we have a role for you.

The role is Based in Europe.

Our clients mission is to fundamentally change the productivity landscape around email, calendars and note taking by developing proactive, AI-native applications designed for the general public. We are bringing seamless intelligence to workflows, scheduling, and daily errands, all without requiring users to master complex prompting.

Our clients engineering culture is focused on delivering high reliability for long-running workflows, maintaining persistent context, and executing real-world tasks flawlessly. By anchoring their products in practical utility and robust architecture, they are successfully minimizing model hallucinations. Ultimately, the goal is to automate personal organization so people can focus their energy on what truly matters.

Key Responsibilities

• Design and build the core machine learning systems driving a proactive, forward-looking AI platform.
• Take complete end-to-end ownership of your projects, from data curation and model training to evaluation, inference, and continuous iteration.
• Translate cutting-edge research concepts into robust, highly reliable systems ready for production environments.
• Leverage live production signals and data to troubleshoot complex model anomalies and system bottlenecks.
• Drive a fast-paced development loop—deploy systems, analyze real-world performance metrics, refine approaches, and repeat swiftly.
• Partner seamlessly with research, engineering, and product teams to ensure technical milestones translate directly into tangible user value.
• Provide hands-on mentorship to fellow engineers, conduct rigorous reviews, and set a high standard for technical judgment through your own execution.
• Optimize model architectures to strictly balance latency, computational cost, system reliability, and safety at massive scale.

To be a good fit for the Senior Machine Learning role, you must have:

• Minimum of 5 years experience in a Machine Learning role
• Experience with Python, PyTorch / JAX, GPU-based training and inference systems
• Demonstrated experience building, deploying, and maintaining machine learning systems actively used in real-world environments.
• Strong practical understanding of how modern ML models behave and fail in live production, alongside the ability to effectively mitigate edge cases.
• Track record of writing clean, robust, production-grade code with an architectural mindset that goes far beyond simple scripting.
• High degree of self-direction and initiative, with a proven ability to independently drive complex technical initiatives from concept to launch.
• Ability to absorb new concepts rapidly, communicate technical trade-offs clearly, and continuously improve code and systems through iterative feedback loops.

Reasons to join:

• Small founding team, building a greenfield AI email product from scratch.
• High‑caliber engineers from top tech companies; very high technical bar.
• Fully remote, global team, strong ownership, and visible impact.
• Very strong reward culture (including significant equity and high comp flexibility

Sounds interesting? Send us your CV by applying to this page

The provision of personal data by you is fully voluntary and the basis for their processing is your consent. We have prepared some necessary information, you can find in document: “Information regarding the processing of your personal data”. There you will find how your Personal Data is being processed and what your rights are in connection to this.

The personal data will be processed by Sowelo Consulting spółka z ograniczoną odpowiedzialnością with its registered seat in Cracow (LLC) registered in National Court Register (KRS) under no. 0000671136, our Employees and Subcontractors (jointly referred to as the Company).

Sowelo Consulting sp. z o.o. (LLC) is entered in the register of employment agencies under the number: 35288

Our candidate selection process relies entirely on human judgment. We explicitly avoid using automated screening algorithms or AI-driven scoring systems for any part of the assessment. Every single profile is reviewed personally by our experienced recruiters, ensuring a thorough and unbiased consideration of your fit.

IT Recruitment Poland | Executive Search | Recruitment Process Outsourcing

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.

We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

The Vertical Experiences team builds the experiences that bring pets into the family — pet profiles, activity timelines, care coordination, lost pet alerts, and third-party integrations. We sit within Life360’s Devices org, but our work is squarely in the consumer product layer: building experiences that help families care for, track, and stay connected to their pets. We ship frequently, own our features end to end, and work closely with mobile, design, and product to define what pet ownership looks like inside Life360.

We are an AI-Native team. AI isn’t an add-on to how we work — it’s how we work. We’ve redesigned our development workflows around AI, using it as a first-class collaborator at every stage: spec writing, code generation, test authoring, incident triage, and system design. We ship faster and go deeper because of it. We’re looking for engineers who want to help define what AI-native development looks like for a high-traffic consumer product.

About the Job

As a Backend Engineer on the Vertical Experiences (Devices Cloud) team, you’ll build and operate the cloud services that power Life360’s connected devices. This role sits at the intersection of hardware, firmware, and mobile, translating real-world device signals into reliable, scalable backend systems. You’ll work on high-throughput, low-latency services that manage device state, ingest telemetry, and enable new device-driven features for millions of members worldwide. The work is hands-on, systems-oriented, and designed for engineers who enjoy solving messy, real-world problems at scale.

You don’t just use AI tools. You think natively in them. Your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. You’ll help establish and evolve AI-native engineering practices for the Vertical Experiences team while delivering features that ship to production weekly.

For candidates based in the US, the salary range for this position is $148,000 to $216,000 USD. For candidates based out of Canada, the salary range for this position is $171,500 to $201,000 CAD.

Note: Please be aware that the job title for positions in Canada will be “Developer” in lieu of “Engineer.“We take into consideration an individual’s background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

• Design, build, and maintain backend services that support device connectivity, telemetry ingest, health monitoring, and command/control operations.

• Collaborate with firmware, mobile, and product teams to define APIs and workflows for device features.

• Deliver scalable, resilient systems in a microservices environment running on AWS (EKS, Lambda, DynamoDB, SQS, etc.).

• Build and own data pipelines for high-throughput streams using Kafka or similar streaming tech.

• Instrument services for observability, reliability, and SLO compliance.

• Participate in on-call rotations and live incident response.

• Write clean, testable, performant code and help improve CI/CD and automation.

• Orchestrate AI coding agents daily for spec writing, code generation, test authoring, incident triage, PR review, and system design

What We’re Looking For

• Bachelor’s in Computer Science or equivalent experience.
• 5+ years experience building backend services in Java, Go, Python, or similar languages.
• Experience with microservices architecture, RESTful API design, and distributed systems.
• Strong skills with cloud infrastructure (AWS preferred), container orchestration, and deployments.
• Experience with databases (relational and/or NoSQL), caching layers, and event/streaming systems.
• Comfortable collaborating across teams and articulating technical tradeoffs.
• Hands-on agentic AI workflow experience.

Nice-to-Have

• Experience with IoT or telematics systems.
• Familiarity with Kafka, Kinesis, or other streaming platforms.
• Experience with high-frequency ingest systems and time-series data.

A background with observability tooling (Prometheus, Grafana, OpenTelemetry).

• Knowledge of SRE practices and automated testing frameworks.

AI-Native Expectations

We use AI coding tools as a professional standard on this team. Here’s what that means in practice:

• Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.
• Judgment and ownership: AI-generated code gets the same review you’d give any PR. You are accountable for everything you ship.
• Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team.
• Team leadership: You share what works. You automate prompting strategies that others can build on.
• Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team.

Our Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• Paid parental leave.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Mental Wellness Program & EAP.
• Flexible PTO and 12 company-wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.
• Free Tile Products.

Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.

• Be a Good Person — We have a team of high integrity people you can trust.
• Be Direct With Respect — We communicate directly, even when it’s hard.
• Members Before Metrics — We focus on building an exceptional experience for families.
• High Intensity, High Impact — We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence.  We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and discoveries in the fraud detection space into reality. Our customers range from innovative startups to leading enterprise companies, including Plaid, Dropbox, and Booking.com.

Fingerprint is a globally dispersed, 100% remote company. We were named on on the 2026 Forbes Best Startup Employers list and ranked #803 on the 2026 Inc. 5000 list of America’s fastest-growing private companies.

We have raised $77M and are backed by Craft Ventures (Tesla, Facebook, Airbnb ), Nexus Venture Partners ( Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures ( Redis, Rollbar,  Gradle).

About the role

Are you a systems-minded engineer who is happiest when production tells you something you didn’t expect? Do you care less about how a system looks on a diagram than about how it behaves at 3am under load it wasn’t designed for? Do you want to own reliability for a platform that answers millions of identification requests a day, where being wrong or being slow is a customer-visible event? If so, we have the perfect opportunity for you.

We’re looking for a Senior Site Reliability Engineer to join our Infrastructure team and take ownership of how our platform behaves in production. This is a hands-on engineering role, not an oversight one — you’ll write code and infrastructure, own systems end to end, and be measured by whether the things you own stay fast, available, and predictable as we grow.

You’ll work across observability, incident response, capacity and performance, change safety, and the tooling that makes all of it routine. You’ll define what “reliable” means for the critical paths you own, instrument them so we know before customers do, and partner with product engineering teams to make their services operable by design rather than by heroics.

Responsibilities

• Own the reliability of core production systems end to end — you instrument them, set targets for them, operate them, and are accountable for how they behave under real traffic.
• Define and maintain SLIs and SLOs for the critical paths you own, wire them into dashboards and alerts, and use error budget burn as the evidence base for what gets fixed next.
• Drive alert quality: raise signal, kill noise, and close the gap where customers notice a problem before our monitoring does. Anomaly and correctness detection matter as much as uptime.
• Take a lead role in incident response — investigate systematically across service boundaries, restore service, and write postmortems that produce follow-ups people actually complete.
• Build secure, resilient, and cost-efficient infrastructure, with explicit attention to failure modes: timeouts and retries, backpressure and load shedding, graceful degradation, and blast radius containment.
• Do capacity and performance work with real data — load testing, profiling, saturation analysis, and headroom planning ahead of growth rather than after an incident.
• Improve change safety: progressive delivery, automated rollback, meaningful pre-production signal, and deployment practices that make shipping boring.
• Manage infrastructure through code and configuration (we primarily use Terraform), consistently applying patterns that align with our overall service architecture.
• Design, write, and ship software and developer-facing tooling that reduces toil and makes operating services straightforward for the engineers who own them.
• Run deliberate failure testing — game days and chaos exercises, staging first — to find the gaps and safe limits before customers do.
• Partner with product engineering teams on production readiness for new and high-risk services: capacity, failure modes, rollback plans, runbooks, and on-call handoff. Teach through review rather than gatekeeping.
• Participate in the on-call rotation, and improve it: better runbooks, clearer escalation, less pager fatigue for everyone in it.
• Approach all engineering work with a security lens — actively looking for vulnerabilities in your own work and in peer reviews.
• Act as the go-to person for hard production problems in your area, and mentor engineers through code review, pairing, and design feedback so operational knowledge doesn’t silo.

Qualifications

• 6–10 years of experience in SRE, production engineering, infrastructure, or backend engineering within primarily cloud-based environments (AWS preferred), with meaningful time spent responsible for systems in production.
• A track record of owning a system end to end — you’ve designed something significant, shipped it, operated it, and lived with the consequences when it misbehaved.
• Hands-on experience defining and operating against SLIs, SLOs, and error budgets — not just reading the book, but getting targets adopted and acted on.
• Strong incident skills: you’ve led or been a primary responder on high-severity, customer-facing incidents, and you’ve improved how an organization learns from them.
• Depth in distributed systems failure modes in high-throughput, low-latency environments — cache and database saturation, cascading failure, retry storms, capacity limits, degradation and load shedding.
• Depth in cloud infrastructure fundamentals: networking, load balancing, containerization (EKS/Kubernetes), and distributed systems.
• Strong hands-on experience managing infrastructure through code and configuration (Terraform or equivalent).
• Solid programming skills in Go, Python, or a comparable language — you write real, production-ready software and can ship the fix rather than only recommend it.
• Fluency with observability tooling (Datadog, Prometheus, Grafana, OpenTelemetry, or similar), including instrumenting systems yourself rather than inheriting dashboards.
• Hands-on experience operating Redis/ElastiCache in production — including cluster/shard management, failover behavior, memory eviction policies, and scaling strategies. This is a current skill gap on our team, so depth here is a strong differentiator.
• Fluency with software engineering best practices: source control, code review, comprehensive test coverage across edge cases and errors, and safe deployment.
• A high level of personal ownership and autonomy, with real experience working without clearly defined requirements.
• Pragmatism over purity — you know reliability competes with delivery, can make the case for the right investment at the right time, and can say when a risk is acceptable.
• Strong written and verbal communication in English — clear technical design docs, PR reviews, incident updates, and postmortems that bring engineers outside your team along on a decision.
• AI-native by default. You use AI tools as a normal part of how you investigate incidents, analyze telemetry, write runbooks, and build tooling — and you have opinions, from experience, about where they help and where they don’t yet.

Compensation & Transparency

For US-based employees, the cash compensation range for this role is $152,000 – $205,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US.  Offers vary depending on, but not limited to, relevant experience, education, certifications/licenses, skills, training, and market conditions.

Due to regulatory and security reasons, there’s a small number of countries where we cannot have Fingerprint teammates based. Additionally, because Fingerprint is an all-remote company and people can join our workforce from almost any country, we do not sponsor visas. Fingerprint teammates need to be authorized to work from their home location.

We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply.

If you are applying as a resident of California, please read our CCPA notice here.

If you are applying as a resident of the EU, please read our GDPR notice here.

• * We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.

Due to regulatory and security reasons, there’s a small number of countries where we cannot have Fingerprint teammates based. Additionally, because Fingerprint is an all-remote company and people can join our workforce from almost any country, we do not sponsor visas. Fingerprint teammates need to be authorized to work from their home location.

We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply.

If you are applying as a resident of California, please read our CCPA notice here.

If you are applying as a resident of the EU, please read our GDPR notice here.

**We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.

Fingerprint empowers enterprises to detect and stop online fraud with the world’s most accurate device intelligence.  We lead our industry with bleeding-edge identification capabilities and work on turning new ideas and discoveries in the fraud detection space into reality. Our customers range from innovative startups to leading enterprise companies, including Plaid, Dropbox, and Booking.com.

Fingerprint is a globally dispersed, 100% remote company. We were named on on the 2026 Forbes Best Startup Employers list and ranked #803 on the 2026 Inc. 5000 list of America’s fastest-growing private companies.

We have raised $77M and are backed by Craft Ventures (Tesla, Facebook, Airbnb ), Nexus Venture Partners ( Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures ( Redis, Rollbar,  Gradle).

About the role

Are you a systems-minded engineer with deep cloud infrastructure expertise and a passion for building the platforms that power products at scale? Do you enjoy solving hard distributed-systems problems, driving reliability, and partnering closely with engineering teams to architect for growth? If so, we have the perfect opportunity for you!

We’re looking for a Senior Infrastructure Engineer to drive the design, development, and evolution of the systems that keep Fingerprint running fast, securely, and at scale. This is a foundational role on our Infrastructure team, with broad ownership over the systems, tools, and practices that power our engineering organization and customer-facing products.

You’ll work across cloud architecture, deployment systems, observability, performance tuning, and developer tooling—helping to define and deliver our platform’s reliability and scalability strategy. As a technical leader, you’ll also collaborate closely with product engineering, security, and DevOps to ensure our infrastructure is ready for the next phase of growth.

Responsibilities:

• Own a core infrastructure product or subsystem end to end — you design it, ship it, operate it, and are accountable for how it behaves in production.
• Define project goals and success metrics for your work, aligning them with company objectives, and proactively identify and address risks before they become blockers.
• Create technical designs from PRDs and requirements, taking an iterative approach that addresses critical corner cases without over-engineering.
• Build secure, high-performing, resilient, and cost-efficient infrastructure for a broad range of applications and workloads.
• Design, write, and ship software and developer-facing tooling that improves the day-to-day lives of our engineers and reduces toil.
• Manage infrastructure through code and configuration (we primarily use Terraform), consistently applying patterns that align with our overall service architecture.
• Partner with product engineering teams to architect their services for scale, resolving ambiguous requirements directly with stakeholders.
• Participate in incident response and use systematic debugging to diagnose issues within your domain and across services.
• Help tune and evolve monitoring for the team, and use operational data as the basis for proposing stability and performance improvements.
• Approach all engineering work with a security lens — actively looking for vulnerabilities in your own work and in peer reviews.
• Act as the go-to person for hard problems in your area, and mentor engineers through code review, pairing, and design feedback so knowledge doesn’t silo.
• Drive cross-team collaboration and engage stakeholders outside of engineering, facilitating discussions on technical and process topics.

Qualifications:

• 6–10 years of experience in infrastructure, platform, or backend engineering within primarily cloud-based environments (AWS preferred).
• A track record of owning a product or subsystem end to end — you’ve designed something significant, shipped it, operated it, and lived with the consequences.
• T-shaped expertise: deep specialization in one or two areas, with enough breadth to navigate and contribute across the wider system with minimal guidance.
• Strong hands-on experience managing infrastructure through code and configuration (Terraform or equivalent).
• Depth in cloud infrastructure fundamentals: networking, load balancing, containerization (EKS/Kubernetes), and distributed systems.
• Solid programming skills in Go, Python, or a comparable language — you write real, production-ready software.
• Hands-on experience operating Redis/ElastiCache in production — including cluster/shard management, failover behavior, memory eviction policies, and scaling strategies. This is a current skill gap on our team, so depth here is a strong differentiator.
• Comfort with observability tooling (Prometheus, Grafana, OpenTelemetry, or similar), performance tuning, and incident management.
• Fluency with software engineering best practices: source control, code review, comprehensive test coverage across edge cases and errors, and safe deployment.
• A high level of personal ownership and autonomy, with real experience working without clearly defined requirements.
• Strong written and verbal communication in English — clear technical design docs, PR reviews, and updates that bring engineers outside your team along on a decision.

Compensation & Transparency

For US-based employees, the cash compensation range for this role is $152,000 – $205,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency, we share salary ranges on all job postings. However, these ranges are specific to the hiring location and may differ within or outside the US.  Offers vary depending on, but not limited to, relevant experience, education, certifications/licenses, skills, training, and market conditions.

Due to regulatory and security reasons, there’s a small number of countries where we cannot have Fingerprint teammates based. Additionally, because Fingerprint is an all-remote company and people can join our workforce from almost any country, we do not sponsor visas. Fingerprint teammates need to be authorized to work from their home location.

We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply.

If you are applying as a resident of California, please read our CCPA notice here.

If you are applying as a resident of the EU, please read our GDPR notice here.

• * We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.

Due to regulatory and security reasons, there’s a small number of countries where we cannot have Fingerprint teammates based. Additionally, because Fingerprint is an all-remote company and people can join our workforce from almost any country, we do not sponsor visas. Fingerprint teammates need to be authorized to work from their home location.

We are dedicated to creating an inclusive work environment for everyone. We embrace and celebrate the unique experiences, perspectives and cultural backgrounds that each employee brings to our workplace. Fingerprint strives to foster an environment where our employees feel respected, valued and empowered, and our team members are at the forefront in helping us promote and sustain an inclusive workplace. We highly encourage people from underrepresented groups in tech to apply.

If you are applying as a resident of California, please read our CCPA notice here.

If you are applying as a resident of the EU, please read our GDPR notice here.

**We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.

We are looking for a skillful Backend Developer to join one of our teams working with US clients - referrals from the high-end American IT market.

Our tech stack is built around React, Node.js and TypeScript. We are working with well-established companies and sometimes startups in their early stages (MVPs), which makes the job full of diversity and exciting challenges while crafting cutting-edge solutions.

Enjoy the flexibility of working within the Polish time zone and collaborate with clients from diverse industries such as FinTech, SportsTech, MedTech, and many others.

Salary: PLN 10.000 - 18.000 + VAT (B2B)

Offer:

• Required skills: 2+ years of commercial experience in Node.js, SQL and NoSQL DBs, knowledge of JS frameworks (e.g Express.js, NestJS), experience in TypeScript, SOLID and KISS, knowledge about design and architecture patterns, knows how and why Docker and GitHub Actions works, basic usage of AWS services, English B2, Polish C1
• Offer: B2B/UZL, paid days off, 100% remote (or hybrid/onsite - as you prefer), Polish time zone, flexible hours, full-time position, long-term contract, Scrum Teams
• Perks and Benefits: learning budget, budget for health insurance and sports, regular feedback, support, and real learning opportunities, access to internal Design Talks and Tech Talks, and more
• Tools you’ll use: Apple MacBook Pro, Slack, GSuite, GitHub, Jira, Coda, FigJam, Claude Code

Your future tasks and duties:

• Writing readable, testable and easy-to-maintain JS/TS code with OOP flavor
• Taking ownership of backend features from understanding requirements through implementation, testing and deployment
• Writing documentation for delivered code and technical decisions
• Code review of other developers in the team, including constructive feedback and knowledge sharing
• Direct involvement with the design and modification of basic DB structures and API contracts
• Propose pragmatic improvements and proactive ideas/solutions to enhance the product and team’s work processes
• Share insights with the team to diagnose issues, communicate risks and focus on solutions
• Actively participate in project discussions, refinements and technical decision-making
• Listen to the client’s needs and, after consulting the team, suggest practical solutions
• Support less experienced team members through code review, explanations and pair programming

Use AI tools responsibly in daily work, verifying and adapting results to production standards

About you - Tech skills & Experience:

• 2+ years of commercial experience in Node.js
• Good experience with at least one Node.js backend framework (e.g. Express.js, NestJS, Fastify, etc) - you know most of its basic APIs/features, worked on at least 1-2 projects involving such technologies
• Strong proficiency in TypeScript. You have practical experience with static typing, advanced types, and configuring TS compilers, treating it as your primary language to build robust and type-safe backend applications
• Potentially worked with NoSQL databases and/or in-memory databases and utilized them as a data store
• Worked with SQL databases (integration-wise and as a basic design skill) with ORM or query builder tool (ie. Prisma, Knex)
• Understands how AI/LLMs work in practice (context, prompts, limitations) and has hands-on experience contributing to AI-powered backend features (e.g. integrating LLM APIs, basic RAG flows, or simple agent-style workflows)
• Integrates AI seamlessly into daily development workflow - uses it for prototyping, boilerplate, and tests, while always verifying and adapting output to production-quality standards

About you - Soft Skills:

• English level B2 to cooperate with American clients
• Polish level C1 to communicate easily within the team
• Open-minded to new challenges (e.g. different frameworks)
• Understand the significance of MVP and prioritize the pursuit of excellence and high-quality outcomes, even amid tight project timelines.
• Communicate with the team to efficiently translate business complexities (user stories/tasks) into solutions (results/estimations)
• Staying on top with trends/news, sharing them, teaching others and aiming for the best quality solutions
• Strong problem-solving abilities to diagnose issues, suggest solutions, and make decisions based on project requirements.

Nice to have:

• Worked in Agile/Scrum on a daily basis consisting of people with similar skills and monitoring code quality on a daily basis
• Basic experience with AWS - used some services in specific cases
• Basic experience with Docker - know how to prepare and debug the environment and connect things up to work locally
• Worked in the very beginning of the product development/creation stage
• Understand the significance of MVP and aim to deliver top-notch results, even amid tight project timelines

Recruitment Process:

• CV Review
• Phone call with our Recruiter (15min)
• Soft-skills interview with our Recruiter (1h)
• Technical interview with our Senior Specialists (2h)
• Decision and feedback 🥳

10,000 zł - 16,000 zł a month

Salary: PLN 10.000 - 16.000 + VAT (B2B)

Meaningful projects, top-notch experts and value-driven workplace

Sound good?

Apply now!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 102.4 million monthly active users (MAU), as of June 30, 2026, across more than 180 countries.

Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family).

Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com.

Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.

We are AI Native

We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process.

Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy.

About The Team

The Vertical Experiences team builds the experiences that bring pets into the family — pet profiles, activity timelines, care coordination, lost pet alerts, and third-party integrations. We sit within Life360’s Devices org, but our work is squarely in the consumer product layer: building experiences that help families care for, track, and stay connected to their pets. We ship frequently, own our features end to end, and work closely with mobile, design, and product to define what pet ownership looks like inside Life360.

We are an AI-Native team. AI isn’t an add-on to how we work — it’s how we work. We’ve redesigned our development workflows around AI, using it as a first-class collaborator at every stage: spec writing, code generation, test authoring, incident triage, and system design. We ship faster and go deeper because of it. We’re looking for engineers who want to help define what AI-native development looks like for a high-traffic consumer product.

About the Job

As a Backend Engineer on the Vertical Experiences (Devices Cloud) team, you’ll build and operate the cloud services that power Life360’s connected devices. This role sits at the intersection of hardware, firmware, and mobile, translating real-world device signals into reliable, scalable backend systems. You’ll work on high-throughput, low-latency services that manage device state, ingest telemetry, and enable new device-driven features for millions of members worldwide. The work is hands-on, systems-oriented, and designed for engineers who enjoy solving messy, real-world problems at scale.

You don’t just use AI tools. You think natively in them. Your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews. You’ll help establish and evolve AI-native engineering practices for the Vertical Experiences team while delivering features that ship to production weekly.

For candidates based in the US, the salary range for this position is $148,000 to $216,000 USD. For candidates based out of Canada, the salary range for this position is $171,500 to $201,000 CAD.

Note: Please be aware that the job title for positions in Canada will be “Developer” in lieu of “Engineer.“We take into consideration an individual’s background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity.

What You’ll Do

• Design, build, and maintain backend services that support device connectivity, telemetry ingest, health monitoring, and command/control operations.

• Collaborate with firmware, mobile, and product teams to define APIs and workflows for device features.

• Deliver scalable, resilient systems in a microservices environment running on AWS (EKS, Lambda, DynamoDB, SQS, etc.).

• Build and own data pipelines for high-throughput streams using Kafka or similar streaming tech.

• Instrument services for observability, reliability, and SLO compliance.

• Participate in on-call rotations and live incident response.

• Write clean, testable, performant code and help improve CI/CD and automation.

• Orchestrate AI coding agents daily for spec writing, code generation, test authoring, incident triage, PR review, and system design

What We’re Looking For

• Bachelor’s in Computer Science or equivalent experience.
• 5+ years experience building backend services in Java, Go, Python, or similar languages.
• Experience with microservices architecture, RESTful API design, and distributed systems.
• Strong skills with cloud infrastructure (AWS preferred), container orchestration, and deployments.
• Experience with databases (relational and/or NoSQL), caching layers, and event/streaming systems.
• Comfortable collaborating across teams and articulating technical tradeoffs.
• Hands-on agentic AI workflow experience.

Nice-to-Have

• Experience with IoT or telematics systems.
• Familiarity with Kafka, Kinesis, or other streaming platforms.
• Experience with high-frequency ingest systems and time-series data.

A background with observability tooling (Prometheus, Grafana, OpenTelemetry).

• Knowledge of SRE practices and automated testing frameworks.

AI-Native Expectations

We use AI coding tools as a professional standard on this team. Here’s what that means in practice:

• Daily use: You use AI coding assistants (we support Claude Code, Cursor, and GitHub Copilot) for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation. Not just research or autocomplete.
• Judgment and ownership: AI-generated code gets the same review you’d give any PR. You are accountable for everything you ship.
• Velocity: We expect senior engineers who use AI well to operate with meaningful leverage — doing more with the same time, taking on problems that would otherwise require a larger team.
• Team leadership: You share what works. You automate prompting strategies that others can build on.
• Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team.

Our Benefits

• Competitive pay and benefits.
• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
• Paid parental leave.
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Mental Wellness Program & EAP.
• Flexible PTO and 12 company-wide days off throughout the year.
• Learning & Development programs.
• Equipment, tools, and reimbursement support for a productive remote environment.
• Free Life360 Platinum Membership for your preferred circle.
• Free Tile Products.

Life360 Values

Our company’s mission-driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference.

• Be a Good Person — We have a team of high integrity people you can trust.
• Be Direct With Respect — We communicate directly, even when it’s hard.
• Members Before Metrics — We focus on building an exceptional experience for families.
• High Intensity, High Impact — We do whatever it takes to get the job done.

Our Commitment to Diversity

We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.

We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status.

We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!

#LI-Remote

Senior Full Stack Developer – Canada (Remote)

Aequilibrium is a technology professional services company specializing in digital transformation, product development, and innovation.

We are looking for an experienced Senior Full Stack Developer based in Canada to join the Aequilibrium team and support a large-scale digital initiative. This role requires a versatile developer who is comfortable working across both frontend applications and backend services and can quickly become productive within an established product environment.

The successful candidate will work independently with minimal supervision while collaborating closely with an Agile delivery team.

What You Will Be Doing

• Design, develop, and enhance frontend applications and backend services.

• Develop and integrate REST APIs and database-driven services.

• Build and maintain cloud-native application components.

• Contribute to event-driven services and scheduled/background processing workloads.

• Develop automated unit and integration tests and maintain high standards of software quality.

• Work with CI/CD pipelines and containerized application deployments.

• Troubleshoot application issues and provide deployment and production support as required.

• Collaborate with developers, product stakeholders, and other members of an Agile delivery team.

• Quickly understand and contribute to an established application architecture and codebase.

Required Experience

• Strong professional experience as a Full Stack Developer, with demonstrated hands-on experience across both frontend and backend development.

• Strong experience with TypeScript and modern frontend development.

• Experience with a modern frontend framework such as React.

• Backend development experience, preferably with Python or comparable server-side technologies.

• Experience designing, developing, and integrating REST APIs.

• Experience with relational databases and database integrations.

• Experience developing cloud-native applications.

• Experience with cloud platforms; GCP experience is preferred, although relevant AWS or Azure experience is transferable.

• Experience with CI/CD pipelines and modern software delivery practices.

• Experience with containerized applications and deployments, such as Docker and/or Kubernetes.

• Experience with event-driven architectures/services.

• Experience with scheduled or background processing workloads.

• Strong understanding of modern software engineering practices, including automated testing, source control, code reviews, and maintainable application design.

• Ability to work independently, take ownership of assignments, and become productive quickly within an existing product environment.

• Strong communication and collaboration skills and experience working within Agile delivery teams.

• Experience working directly with clients and stakeholders in a professional services or consulting environment is an asset.

• Previous Canadian public-sector or government digital-services experience is an asset.

Education

Bachelor’s Degree in Computer Science, Software Engineering, or a related discipline, or equivalent professional experience.

Location

• 100% remote.

• Candidates must be based in and authorized to work in Canada.

• Candidates must be available to collaborate with teams working Pacific Time hours.

Engagement

• Contract position

• Anticipated start: October 2026

• Expected engagement through approximately 6 month

• Target rate: 50-70 CAD/ hour

About Aequilibrium

Aequilibrium is a technology professional services organization voted multiple times among the Top 5 Best Companies in BC to work for, consistently ranked among the Top 5 Digital Agencies in Vancouver, and winner of multiple VancouverUX Awards for product design.

We bring together product managers, designers, and developers dedicated to creating innovative web, mobile, and digital solutions. Our teams use Agile methodologies and modern product development practices to deliver high-quality solutions for our clients.

Please Note

At Aequilibrium, we seek candidates who add to our culture of valuing, respecting, supporting, and caring for each other. Diversity of thought and perspectives is critical to our success, and all applicants are considered regardless of sexual orientation, gender identity, race, colour, age, disability, marital status, heritage, religious or political beliefs.

Aequilibrium is trusted with highly sensitive information. Upon joining our team, you may be asked to undergo security screenings, including a criminal record check.

Hi there!

We’re SweedPos , a product-driven company building an all-in-one cannabis retail platform. We’re on the lookout for an Backend Engineer to join us remotely.

About Us

At Sweed, we’re reimagining how cannabis retailers operate. Our enterprise-grade platform combines POS, eCommerce, Marketing, Analytics and Inventory Management into a single, seamless solution—eliminating the need for multiple third-party tools.

We believe in simplicity, efficiency, and innovation. That’s why we build for scalability and performance, making life easier for cannabis retailers while driving real business growth.

Why We’re Doing This

At Sweed, we believe in the medicinal potential of cannabis. It has been shown to help with chronic pain, anxiety, depression, and many other conditions. Despite the lingering stigma, we see cannabis as a powerful tool for improving lives.

The industry is evolving rapidly, and we’re here to drive that transformation—making cannabis retail more efficient, accessible, and customer-friendly.

Where We Are Now

We’ve been on the market for 7 years, continuously growing and refining our product.

Our focus is on earning customer trust, which means constantly improving our delivery processes and rolling out new features. At the same time, we navigate the complex legal landscape of the cannabis industry, ensuring our platform remains compliant and future-proof.

Team Structure

Our total team size is over 200 people:

The development team is distributed globally and organized into cross-functional product teams. These teams typically consist of 8–12 members, including front-end and back-end developers, QA specialists, and analysts.

Each team is led by a Team Lead and a Product Owner, ensuring effective collaboration and clear direction.

Meanwhile, our CEO, account managers, and customer success team are based in the USA, working closely with us to align product development with business and user needs.

What You’ll Do

• Build and maintain backend services and APIs used across the Sweed platform.

• Work with C# / .NET, relational databases, queues, caching, and integrations.

• Improve performance, reliability, observability, and maintainability of production systems.

• Contribute to the evolution of our architecture, including microservices and parts of the existing monolith.

• Own technical solutions from design to production, together with product, frontend, QA, DevOps, and other backend engineers.

• Use AI tools where they help you move faster, understand context, and maintain quality.

What You’ll Be Working On

Depending on the team and product area, you may work on:

• internal and external APIs;

• eCommerce, checkout, order management, payments, inventory, or reporting flows;

• performance and latency improvements in critical customer journeys;

• service refactoring, technical debt reduction, and monolith decomposition;

• asynchronous communication, background processing, queues, and caching;

• observability, troubleshooting, and production reliability.

Tech Stack

C#, .NET 10, ASP.NET Core, Microservices, gRPC, MS SQL, PostgreSQL, RabbitMQ, Redis, SignalR, EF Core, Dapper, Docker, Kubernetes, AWS, Grafana, Git, GitLab CI/CD.

What We’re Looking For

• Strong commercial backend experience with C# and .NET.

• Experience building and supporting production systems.

• Good understanding of backend architecture, APIs, databases, and distributed systems.

• Experience with microservices, queues, caching, async processing, or background jobs.

• Ability to troubleshoot production and performance issues.

• Ownership mindset: you can clarify requirements, make technical decisions, and drive solutions to production.

• Good communication skills and ability to collaborate across teams.

• English level sufficient for written communication and occasional calls.

• Experience using AI tools in software development workflows.

Nice to Have

• Experience with high-load systems.

• Experience in eCommerce, payments, checkout, order management, inventory, or reporting.

• Experience decomposing monoliths or improving legacy systems.

• Experience with Kubernetes, CI/CD, observability, or monitoring.

• Experience working in product companies or startup-like environments.

Working Style

• Two-week sprint cycles.

• Regular technical discussions, planning sessions, and retrospectives.

• Cross-functional collaboration with product, QA, frontend, analytics, and DevOps.

• Remote-first setup with flexible working hours.

The team also has a rotating weekly support duty approximately once every two months. During these weeks, engineers help investigate and route technical issues during normal working hours. This is not an on-call rotation.

What We Offer

• Salary in USD (B2B contract with the US company)

• 100% remote – We’re a remote-first company, no offices needed!

• Flexible working hours – Core team time: 10:00-16:00 CET (flexible per team)

• 20 paid vacation days + 12 holidays per year

• 3 sick leave days

• Medical insurance after probation

• Equipment reimbursement (laptops, monitors, etc.)

Hiring Process

• Intro Call with Sweed People Team (up to 40 min)

• System Design (90 min)

• Technical Interview (90 min)

• Final interview (60 min)