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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.

Why Us

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value.

We # GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

Our Approach to Work

At NewRocket, people are not just the backbone; they’re the heartbeat. We champion diversity, celebrate creativity, and embrace the uniqueness each person brings to the table. Here, it’s not just about a job; it’s about fostering a healthy work-life balance, creating a culture that thrives on collaboration and innovation, and supporting professional growth for individuals and teams.

We believe in creating meaningful experiences, not just for our clients but for every member of our crew. Your voice matters, your growth matters, and you matter. Join us for a journey where your uniqueness is not only recognized but celebrated, and together, let’s create something extraordinary!

The Role

NewRocket is a global team made up of ServiceNow professionals who help our customers run and grow their ServiceNow environments.  We are hiring a ServiceNow Senior Software Engineer with HRSD & Service Portal experience. The Senior Software Engineer is responsible for leading, coaching and mentoring a team of Software Engineers who provide the development of project professional services for customers. The Senior Software Engineer will implement and develop customizations based on functional and technical requirements using leading practices and internal code standards on large-scale more complex professional services projects.

We will provide support and guidance to get you up to speed on some of the most amazing projects!  We provide official ServiceNow training so you can achieve multiple certifications. We will set expectations for what success looks like. Then we will allow you use your skills and experience to come up with innovative solutions to achieve customer goals.

We are #GoingBeyond Come join our crew!

What You Will Be Doing

• As a ServiceNow Integrations Developer you will interface with end-users, IT teams and key stakeholders to gather systems requirements for ITSM, HRSD & Service Portal.
• You will customize ServiceNow applications and facilitate rollout of new applications, modules, configure Application UI, Workflow, work orders, transfer orders, inventory, and technician locations
• Configuring integrations between ServiceNow via REST/SOAP web and other applications
• Strong experience with ITSM, HRSD & Service Portal processes and can guide customers through understanding technical solutions to their business requirements
• Interact with technical SMEs to get necessary environment information to support your service map and event work
• Reflect impact assessment rules within service maps and validate with technical SMEs and stakeholders
• Participate in user acceptance testing of the resulting maps, impact rules and event management work
• Promote your update sets and data across applicable SN environments
• Remediate any production incidents that arise related to this scope
• Align with existing SN technical lead for map/event work to ensure consistent approach that does not break shared patterns
• Proactively maintain operational documentation and SOPs to reduce support risk & inefficiency

What You Bring Along

• 4+ years’ experience supporting the implementation, administration, configuration, and/or development of ServiceNow in 2 or more capabilities (i.e. ITSM, HRSD, Service Portal)
• Experience with integration between ServiceNow and other systems/platforms using both mid servers and cloud to cloud
• Experience working with Web Services Integration (SOAP, REST) and any bi-directional, automated integration between two systems.
• Data Extraction Technologies (e.g. JDBC, ODBC) or ETL integrations
• Proven experience with implementing ServiceNow CMDB, Discovery, Software Asset Management, ITSM, Service Catalog, and Workflows to meet business requirements
• Deep understanding of the ServiceNow CMDB and all related processes
• Knowledge of all aspects of ServiceNow scripting including Business Rules, Client Scripts, UI Builder, Scripted REST APIs, and Script Includes
• Ability to create technical design documents and user documentation

Education:

• A four-year undergraduate degree in Computer Science, Computer Engineering, Information Systems or demonstrated work experience

Certifications & Knowledge

The candidate must be willing and able to continue their education within the ServiceNow platform and beyond. It is expected that the candidate will be able to complete ServiceNow competency Certifications as well as Module Accreditations.

Preferred Certifications:

• ITIL Foundation
• ServiceNow CSA and CAD

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

Why Us

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value.

We # GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

Our Approach to Work

At NewRocket, people are not just the backbone; they’re the heartbeat. We champion diversity, celebrate creativity, and embrace the uniqueness each person brings to the table. Here, it’s not just about a job; it’s about fostering a healthy work-life balance, creating a culture that thrives on collaboration and innovation, and supporting professional growth for individuals and teams.

We believe in creating meaningful experiences, not just for our clients but for every member of our crew. Your voice matters, your growth matters, and you matter. Join us for a journey where your uniqueness is not only recognized but celebrated, and together, let’s create something extraordinary!

The Role

NewRocket is a global team made up of ServiceNow professionals who help our customers run and grow their ServiceNow environments.  We are hiring a ServiceNow Senior Software Engineer with CSM and Custom Application experience. The Senior Software Engineer is responsible for leading, coaching and mentoring a team of Software Engineers who provide the development of project professional services for customers. The Senior Software Engineer will implement and develop customizations based on functional and technical requirements using leading practices and internal code standards on large-scale more complex professional services projects.

We will provide support and guidance to get you up to speed on some of the most amazing projects!  We provide official ServiceNow training so you can achieve multiple certifications. We will set expectations for what success looks like. Then we will allow you use your skills and experience to come up with innovative solutions to achieve customer goals.

We are #GoingBeyond Come join our crew!

Key Responsibilities:

• Perform advanced troubleshooting and root cause analysis on ServiceNow platform issues.
• Troubleshoot and resolve issues related to CSM, Integrations, portal and other ServiceNow modules(optional)
• Support and maintain ServiceNow modules.
• Support and maintain integrations between ServiceNow and external systems.
• Collaborate with stakeholders & end users to understand requirements and deliver effective ServiceNow solutions.
• Participate in platform upgrades, clone, patching, and performance optimization initiatives.
• Ensure adherence to best practices in ServiceNow development and configuration.
• Document technical solutions, workflows, and issue resolutions.
• Perform deployment.

Required Certifications:

• Certified System Administrator(CSA)
• Certified Application Developer(CAD) / CIS - ITSM

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

Why Us

NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value.

We # GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

Our Approach to Work

At NewRocket, people are not just the backbone; they’re the heartbeat. We champion diversity, celebrate creativity, and embrace the uniqueness each person brings to the table. Here, it’s not just about a job; it’s about fostering a healthy work-life balance, creating a culture that thrives on collaboration and innovation, and supporting professional growth for individuals and teams.

We believe in creating meaningful experiences, not just for our clients but for every member of our crew. Your voice matters, your growth matters, and you matter. Join us for a journey where your uniqueness is not only recognized but celebrated, and together, let’s create something extraordinary!

Your Career

NewRocket is a global team made up of ServiceNow professionals who help our customers run and grow their ServiceNow environments.  Founded with the insight that technology has the power to make people’s lives better and recognized as one of the world’s most innovative companies, ServiceNow provides a platform that makes workflows work.  We are hiring for a Senior ServiceNow Software Engineer - TSM/OMT, to join our award-winning Customer team!

• As a ServiceNow Developer supporting TSM/OMT you will be primarily developing customer applications for Work Order management, scheduling and dispatch.
• Collaborate with stakeholders to identify key functionality within custom ServiceNow instance
• Enhance ServiceNow (SN) event rules as necessary to ensure proper CMDB binding
• Interact with technical SMEs to get necessary environment information to support your service map and event work

Your Experience

• Experience with TSM/OMT in ServiceNow
• Comprehension of, and the ability to communicate and implement TSM/OMT solutions
• Ability to develop interfaces for each user audience depending on custom application models or Service Portals
• Experience developing integrated logic and functional components to interface with ServiceNow internal services and APIs (via REST)
• Service-oriented and distributed application architecture in the enterprise (web services, data access and persistence, client/server, etc.)
• Understand Credential less and Credential based Discovery
• Install, configure, and integrate software products from ServiceNow TSM/OMT with a focus on the discovery, service mapping, certification management, Service Graph Connectors and Multisource CMDB
• Ability to prevent duplicate Cis with CI identifiers
• Extend Horizontal Discovery with custom Infrastructure Patterns and Application Patterns
• Knowledge and ability to configure, manage and maintain MID servers
• Proficient in working with command line console for Service Mapping
• Ability to work with and migrate patterns between Environments for Service Mapping
• Proficient in configuring Identification Rules for Service Mapping
• Ability and knowledge in Discovery of multi-tier services including advance pattern configuration for Service Mapping

We Take Care of Our People

NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard.  We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.

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

POSITION SUMMARY

As a Software Engineer III, you will design, develop, and maintain full-stack software applications and services to support Natera Operations information processing for genetic lab tests.  You will work with operational teams to optimize their workflows and software and build the next generation of Natera ops tools, using a combination of tools.

PRIMARY RESPONSIBILITIES

• Work with an engineering team to make key design and technical implementation decisions
• Work closely with stakeholders and users to define requirements and transform them into reliable and extensible operations-friendly applications
• Design, build, and maintain sustainable applications
• Improve development process and procedure and evangelize best practices
• This role works with Protected Health Information (PHI) on a regular basis both in paper and electronic form and has access to various technologies to access PHI (paper and electronic) in order to perform the job.
• You must complete training relating to HIPAA/PHI privacy, General Policies and Procedure Compliance training and security training as soon as possible but not later than the first 30 days of hire.
• You must maintain a current status on Natera training requirements.
• You must pass a post-offer criminal background check

QUALIFICATIONS

• BS degree in computer science, comparable program, or equivalent.  MS preferred
• 5+ years of overall software development experience
• Nice to have: experience with object-oriented programming in Java, preferably using open source framework such as Spring Frameworks and Hibernate
• Experience with web services (REST, etc) and relational databases
• Nice to have: experience with front-end web programming, preferably with modern javascript frameworks (react, angular, etc)
• Demonstrated teamwork skills
• Solid analytical background
• Excellent communication
• Commitment to diversity in engineering
• Healthcare IT experience is beneficial, but not required

KNOWLEDGE, SKILLS, AND ABILITIES

Core Languages & Frameworks

• Java
• Spring Boot
• SQL

Workflow & Messaging

• Temporal (workflow orchestration)
• Kafka
• Confluent Schema Registry

Database & Migrations

• MySQL
• Liquibase

Infrastructure & DevOps

• Docker
• Kubernetes
• CI/CD tools (e.g., GitLab CI, Jenkins)

Testing

• JUnit 5
• Testcontainers
• Test automation frameworks (e.g., Selenium, Cucumber)

AI-Assisted Development Tools

• Cursor
• Claude
• GitHub Copilot / other AI coding assistants

Version Control & Collaboration

• Git / GitLab
• Jira / Confluence

API & Documentation

• REST API design
• Swagger / OpenAPI

#LI-D

The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

Remote USA

$116,240—$145,300 USD

OUR OPPORTUNITY

Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management.

WHAT WE OFFER

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit www.natera.com.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

If you are based in California, we encourage you to read this important information for California residents.

Link: https://www.natera.com/notice-of-data-collection-california-residents/

Please be advised that Natera will reach out to candidates with a @natera.com email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes.

For more information:

- BBB announcement on job scams

- FBI Cyber Crime resource page

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.

About Rad AI

At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

About Continuity:

Continuity is Rad AI’s care coordination and follow-up product, helping radiology teams make sure important findings do not fall through the cracks. The team builds and operates the applications, APIs, and integrations that turn clinical data into actionable workflows for customers, with a strong emphasis on reliability, scalability, and operational excellence in a sensitive healthcare environment. This work sits at the intersection of product, engineering, implementations, and customer needs, and is central to helping Rad AI deliver measurable value for health systems and radiology practices.

Why Join Us:

We’re seeking a Senior Software Engineer to join our team building the future of radiology. This role will work alongside our high-performing cross-functional team of Full Stack Engineers, ML Engineers, Product Leaders, and various other teams internally and externally to develop this responsive and performant application.

What You’ll Be Doing:

• Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness

• Develop our Python, FastAPI backend services including a REST API and ML pipeline services

• Build new features that support our rapidly growing number of customers

• Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment

• Work with Product Management, ML, Data Science, Customer Success and other stakeholders to iterate on new features and address defects

• Advocate for improvements to product quality, security, and performance that have impact across your team

• Proactively seek out ways to improve our code base and product as a whole through code reviews, design collaboration, and development of strong engineering practices.

Who We’re Looking For:

• Minimum of 5+ years of industry engineering experience with single and multi-tenanted environments

• In-depth knowledge of Python and FastAPI, or equivalent modern languages/frameworks

• Knowledge of relational and document based databases, as well as other large scale data storage paradigms

• Knowledge of modern web architecture and best practices

• Experience with unit and integration testing

• Experience working on a distributed team and strong version control skills using git

• Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems

• Experience using AI-assisted development tools and workflows to improve engineering productivity, while maintaining high standards for code quality, reliability, and security.

Nice to Haves:

• Experience with PostgreSQL

• Experience with 3rd-party integrations such as Auth0, Amplitude

• Experience working at an early-stage startup

• Experience in a HIPAA-compliant environment, especially with FHIR and HL7

• Experience working on machine learning

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you’re passionate about driving innovation and delivering impactful healthcare solutions, we’d love to hear from you!

To learn more about what it’s like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn to stay up to date!

Location Details:

For roles listed as San Francisco - Onsite:

• This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs.

For roles listed as United States - Remote:

• This role is open to candidates located anywhere in the United States.

For roles listed as San Francisco - Onsite + United States - Remote:

• We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States.

For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:

• Comprehensive Medical, Dental, Vision & Life insurance

• HSA (with employer match), FSA, & DCFSA

• 401(k)

• 11 Paid Company Holidays

• Flexible PTO policy

• Annual company-wide offsite

• Periodic team offsites

• Annual equipment stipend

• For roles based outside the US, your recruiter can share more details

At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

The work we do has an impact on millions of lives, and you can be a part of it.

We help protect our customers against life’s uncertainties. Regardless of where you work within the company, you’ll be helping provide protection and peace of mind when our customers need it most.

Protective is looking for Data Engineers to design, build, and operate production data pipelines on Voyager, our Databricks lakehouse on Azure. You will own the end-to-end flow of data through a medallion architecture — ingesting source data into the Bronze layer, applying cleansing, validation, and conformance in Silver, and publishing trusted, consumption-ready data products in Gold.

This role sits at the intersection of engineering, analytics, and platform operations. You will write production-grade Python and SQL, enforce data contracts, and help Protective treat data as a product with named owners and real consumers. You will be embedded on a delivery pod that owns its data products end to end, rather than servicing tickets from a queue.

On Voyager, the medallion layers are named Raw, Prep, and Prod. They map directly to Bronze, Silver, and Gold and are used interchangeably in this description.

Key Responsibilities

•    Design, develop, and maintain production data pipelines on Databricks using Python, SQL, Apache Spark, and Delta Lake.

•    Build Bronze-layer ingestion that reliably captures data from APIs, relational databases, flat files, cloud storage, and SaaS platforms — using dlt (dltHub) and Databricks-native ingestion where each fits — including incremental loading, pagination, watermarking, state management, and replay after failure.

•    Develop Silver-layer transformations in dbt and Python over Delta Lake that cleanse, standardize, type, deduplicate, validate, conform, and enrich data so that it is reusable across domains. A meaningful share of this role is making messy source data trustworthy.

•    Create Gold-layer data products: dimensional models, slowly changing dimensions, fact and bridge tables, aggregates, and serving tables aligned to how consumers actually query.

•    Produce and maintain the curated datasets ML engineering trains and serves models from — feature and training tables that are versioned and reproducible, not one-off extracts.

•    Author and maintain data contracts using the Open Data Contract Standard (ODCS) — schema with real semantics, named owner, known consumers, quality rules, and freshness expectations — and assess backward compatibility before every change.

•    Implement data quality as code: uniqueness and not-null on keys at minimum, plus referential, accepted-value, freshness, and custom business-rule tests, surfaced to producers and consumers rather than buried in logs.

•    Orchestrate ingestion and transformation as assets in Dagster, deployed to Dagster Cloud, and operate what you build across development, branch, and production deployments — schedules and sensors, asset dependencies, backfills, and run observability.

•    Apply governance through Unity Catalog — catalogs, schemas, external locations, grants, row- and column-level security, and lineage — and handle credentials through Azure Key Vault rather than in code.

•    Implement incremental and merge-based processing with Delta Lake (MERGE, schema evolution, time travel, OPTIMIZE) and tune Spark jobs, table layouts, and compute for performance and cost.

•    Troubleshoot production failures, data-quality issues, source-system changes, and late-arriving or duplicate data — including backfills and recovery — and take part in the pod’s on-call rotation for the pipelines it owns, with root-cause analysis that closes the gap rather than reopening the ticket.

•    Build and maintain CI/CD for data assets in Azure DevOps — automated tests and CI checks on dlt, dbt, and Dagster changes, promotion from development through branch deployments to production, and releases that are repeatable and auditable.

•    Instrument what you own for observability: freshness, volume, quality, latency, and cost, with alerting tied to the SLAs and SLOs your contract commits to instead of depending on someone noticing.

•    Work inside the platform’s control expectations — least-privilege access, secrets in Azure Key Vault, change management through pull request and pipeline, and audit evidence that falls out of the deployment path rather than being reconstructed later.

•    Participate in code review and document architecture, runbooks, and data products so others can discover, trust, and reuse them.

•    Work with data architects, analysts, product owners, and business stakeholders to translate requirements into maintainable data solutions.

Qualifications

Required Qualifications

•    Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered.

•    3+ years building and supporting production data pipelines in a cloud data platform environment.

•    Strong hands-on Python and SQL. Both are used daily and neither substitutes for the other.

•    Hands-on experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake tables, MERGE, and incremental load patterns.

•    Practical understanding of medallion / multi-layer lakehouse design, and the judgment to say what belongs in Bronze versus Silver versus Gold.

•    Experience ingesting data from APIs, relational databases, files, or SaaS applications, including the incremental and state-management problems that come with it.

•    Working knowledge of dimensional modeling — grain, keys, facts and dimensions, slowly changing dimensions — and of ELT design patterns and data quality practice.

•    Experience with orchestration and scheduling using Dagster, Databricks Workflows, Airflow, Azure Data Factory, or similar.

•    Git-based source control, pull request review, automated testing, and CI/CD as normal practice — Azure DevOps or comparable.

•    Experience troubleshooting production data failures, performance bottlenecks, and source-system changes.

•    Experience with pipeline monitoring and alerting, and a working understanding of what a freshness or quality SLA means once real consumers depend on it.

•    Ability to explain technical designs and trade-offs to both technical and non-technical partners.

Preferred Qualifications

•    Databricks certification (Data Engineer Associate or Professional) or equivalent demonstrated depth.

•    Unity Catalog experience: catalogs, schemas, volumes, external locations, storage credentials, permissions, and lineage.

•    dbt on Databricks, or another transformation framework used alongside Spark.

•    Python-based modeling frameworks over Delta Lake, and experience implementing Type 2 history, surrogate keys, and merge strategies in code.

•    Experience with a declarative Python ingestion framework such as dlt (dltHub), Airbyte, Meltano, or Fivetran.

•    Dagster experience specifically, including assets, asset checks, sensors, schedules, and branch deployments.

$84,000 - $128,667 a year

Protective’s targeted salary range for this position is $84,000 to $128,667. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of Protective’s total compensation package for employees.

This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance.

#LI-VG1

Employee Benefits:

We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits (e.g., paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health.  Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective’s platform to improve wellbeing while earning cash rewards.

Eligibility for certain benefits may vary by position in accordance with the terms of the Company’s benefit plans.

Accommodations for Applicants with a Disability:

If you require an accommodation to complete the application and recruitment process due to a disability, please email [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process.

Please note that the above email is solely for individuals with disabilities requesting an accommodation.  General employment questions should not be sent through this process.

We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.

Senior Software Engineer (back-end)

Who We Are and What We Do

At SilverRail, we’re on a mission to reshape the way the world travels, and we’re inviting you to be part of this journey. Rail is becoming the go-to choice for short and medium-haul travel worldwide, and we’re here to help make it happen.

In the face of the ongoing climate crisis, our vision is crystal clear. We are transforming the online customer experience for rail travel, making it easier than ever for customers to find, buy and use rail. Our cutting-edge technology is the backbone of rail and travel agencies worldwide, making it effortless for travellers to choose the eco-friendly option and reduce their carbon footprint.

We have more than 15 years of trailblazing success behind us, and our teams are spread across the globe, with bases in London, Boston, Brisbane, and Stockholm. We thrive on the philosophy of ‘fail-fast-fail-early,’ which drives us to find ingenious solutions to complex challenges.

Join us, and help shape the future of travel!

The Role

As a Senior Software Engineer, you will play an important role in the design, development, and maintenance of scalable applications and services, working closely with Product Owners, QA Engineers, Architects, and fellow developers throughout the software development lifecycle. You will contribute to translating business requirements into high-quality technical solutions that deliver value to customers and stakeholders.

You will be responsible for developing clean, maintainable, and efficient code using modern engineering practices and technologies, with a strong focus on application performance, reliability, scalability, and security. The role requires active participation and influence in technical discussions, solution design, code reviews, testing activities, and continuous improvement initiatives within an Agile delivery environment.

The ideal candidate will bring strong hands-on experience in software development, excellent problem-solving skills, and a collaborative mindset. You will also contribute to the evolution of engineering standards and best practices while supporting and mentoring junior members of the team.

Key Responsibilities

• Analyse business and technical requirements to design, develop, test, and maintain software components and services.

• Design, develop, and support modern APIs, ensuring reliability, scalability, and maintainability.

• Write clean, efficient, and scalable code aligned with established engineering standards and best practices.

• Contribute to application and service design, including scalable and modular architecture approaches.

• Perform unit testing, integration testing, troubleshooting, and defect resolution to ensure software quality and stability.

• Collaborate with Product Owners, QA Engineers, and development teams throughout the Agile software delivery lifecycle.

• Manager and lead code reviews, technical discussions, and continuous improvement initiatives to enhance engineering practices and delivery processes.

• Provide technical guidance and mentorship to team members, supporting knowledge sharing and team development.

Required Competence and Skills

• Five or more years of hands-on software development experience.

• Strong knowledge of Java 11+, Spring, Spring Boot

• Good knowledge of Hibernate or equivalent ORM, and relational databases like MySQL, experience with NoSQL databases is a bonus.

• Experience building JSON and XML APIs. Knowledge of RESTful principles is a plus

• Experience working in an Agile (Scrum) environment.

• Experience using Git SCM and CI/CD pipelines. GitLab experience would be beneficial.

• Experience with cloud technologies such as AWS, Docker and Kubernetes would be beneficial.

• Experience working with Claude Code, or other AI coding tools.

• Experience with micro-service and SaaS architectures.

• Experience with Event Driven Architecture and Domain-driven design concepts a plus.

• Ability to communicate well and with influence among technical teams.

• Ability to prioritise workloads under pressure and meet deadlines.

• Ability to work with autonomy and ownership, find answers amongst ambiguity, and understand new domains with precision.

Why us?

• We are an accredited flexible company, utilising a hybrid working model, providing equipment for home working alongside one or two monthly visits to our beautiful central London office.

• We offer a highly competitive benefits package including private healthcare and rail discounts.

• We provide a wealth of career development opportunities with training that is individual, focused on improving your skills and helping you become the best professional you can be.

• Our team’s health and wellness is genuinely important to us, so we offer a number of wellbeing subscriptions including membership to the #1 leading meditation app.

• A unique opportunity to work for a tech company that is helping the environment by revolutionising the way we travel.

Our values are simple: Do Good by working for a better tomorrow; Think Big Act Smart by being curious, adaptable and data-driven; and remember that through collaboration we will always be Stronger Together.

*We are a neurodiverse employer and are working hard to improve our recruitment processes, so if there is any way that we can make the recruitment experience better for you then please let us know in your application - all information will be treated as strictly confidential*

Here at Scout Motors, we’re carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again.

But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.

The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range.

At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion.

Join us at Scout Motors and be part of shaping the future of transportation. If you’re ready to drive change and make history, apply now!

What you’ll do

As a Frontend Engineer on the Sales Engineering team, you will be a core contributor to the applications that power Scout’s sales and operational workflows. You will build intuitive, scalable, and efficient user experiences for the systems that support order management, customer operations, fulfillment, finance, and other critical business functions throughout the vehicle purchase lifecycle.

You will collaborate closely with engineers, product managers, business stakeholders, and cross-functional partners to deliver tools that enable teams to operate effectively and make informed decisions. You’ll take ownership of meaningful areas of the frontend architecture, contribute to technical decisions within your team, and help shape the user experience of the platforms that keep our business running.

This role is ideal for an engineer who writes thoughtful, production-quality code, values usability and maintainability, and enjoys solving complex workflow and operational challenges. You’ll have opportunities to modernize internal platforms, improve business processes through technology, and deepen your expertise in a complex, high-impact transactional domain.

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Architect, design, and develop scalable and performant front-end applications for web platforms
• Define and drive implementation of best practices in front-end development, including accessibility, security, testing, performance, and maintainability
• Mentor engineers on the team, fostering growth and raising the technical bar for front-end engineering
• Work with Design and Product teams to deliver seamless and delightful user experiences while balancing technical feasibility and scalability
• Make critical decisions on frameworks, tooling, and component architecture to support long-term code health and efficiency
• Contribute to the technical roadmap, ensure alignment with business goals, and guide major initiatives from concept to launch
• Collaborate with backend and platform engineers to ensure smooth integration and consistency across the digital stack
• Be a hands-on contributor while influencing engineering culture and processes across the team
• Identify, scope, and lead large technical projects, laying the groundwork for early-stage products to iteratively evolve and scale, and taming complexity and shoring up reliability of existing systems
• Assist in calibrating and developing the software engineering team
• Champion pragmatic AI-assisted development, evaluating tools, contributing to team norms, and helping engineers use them effectively.

Location & Travel Expectations:

• This role will be a remote position.
• This role requires 4-5 days per week in the office, with regular in-person meetings and events.
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here’s what else you’ll bring:

• Education/Certifications: A Bachelor’s or Master’s degree in Computer Science, or a related technical field
• 8+ years of frontend engineering experience, with staff-level or equivalent technical scope.
• Deep expertise with popular tools/frameworks and libraries such as React, NodeJS, GSAP, etc., along with knowledge of their ecosystem and best practices, is required. Experience with a mobile app development framework like React Native is a huge plus.
• Experience in identifying, mitigating, and preventing common web application security vulnerabilities, and strong command of security best practices, secure coding principles, and integrating security into the development lifecycle is required
• Expertise in micro-frontend architecture and its practical application in large-scale systems
• Proven ability to drive the architectural direction for large-scale front-end systems, with extensive experience building complex applications that consume CRUD operations in GraphQL, RESTful, and/or RPC APIs, ensuring long-term scalability, maintainability, and performance
• Deep knowledge of UI/UX design principles, responsive/mobile-first design, SEO, accessibility (WCAG), and performance optimization.
• Exposure to analytics, experimentation platforms, and feature flagging tools.
• Experience interfacing with an IAM / SSO system like Azure, Okta, or Auth0
• Deep understanding of robust branching strategies, CI/CD pipelines, automated testing frameworks (Playwright, Cypress), and cloud environments (AWS preferred).
• Contribution to technical roadmaps and strategic planning, ensuring front-end initiatives align with overall business objectives and technology vision.
• Experience operating in start-up settings, launching 0 to 1 product
• Excellent problem-solving and troubleshooting skills, with a passion for finding elegant solutions to complex challenges

Nice to have

• Experience building AI/ML platform foundations or developer AI tooling.
• Experience in automotive, mobility, retail, ecommerce, or digital consumer products.
• Experience building multi-tenant platforms and shared enterprise services.
• Experience with Full-stack engineering experience - micro frontend architecture and mobile platform foundations (iOS, Android, React Native).

What you’ll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate’s skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $165,000.00 - $200,000.00

Initial California Base Salary Range: $181,500.00 - $220,000.00

Internal Leveling Code: IC8

Notice to applicants:

• To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older.
• Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records.
• Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance.
• Residing in New York City: This role is not eligible for remote work in New York City.

Equal Opportunity

Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law.Scout Motors is committed to compliance with allapplicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.

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

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.

Award-winning and people-first, SimplePractice is shaping the future of health tech. In 2026, we were recognized by BuiltIn as a Best Remote Company to Work For, Software Guru’s Best Places to Code, Becker Healthcare Telehealth Companies to Know, and we won a MedTech Breakthrough Award for Best Practice Management Solution Provider.

The Role

SimplePractice is hiring for an experienced Senior Software Engineer to join our team in a remote role. The ideal candidate will have expert-level knowledge in Ruby on Rails and extensive backend development experience. This role will be instrumental in implementing a wide variety of planned features and service enhancements to support our growing platform.

As one of the first hires in Mexico, you will play a pivotal role in helping us build a team of software developers who are passionate about what they do.

About You

• You are a passionate, talented engineer who is willing to push the limits of existing technology to create the best possible user experience
• You work on the front-end with heavier emphasis on the backend to develop new features from start to finish, including design of architecture, coding, and testing
• You are delighted by good design and bring that taste to your front-end work
• You love building products that help 200,000+ customers in their day-to-day life

Responsibilities

• Build out the next generation practice management platform
• Collaborate with our Product group to help understand customer needs, troubleshoot potential problems and define upcoming features
• Write clean, efficient and well-tested code that improves our code base in meaningful ways
• Help diagnose problems and architect solutions

Desired Skills & Experience

• You have 4+ years of engineering experience, with hands-on Ruby on Rails expertise for a part of your career
• You’re proficient in English, with strong communication and collaboration skills
• You have a degree in Computer Science or a related technical field
• You possess solid experience in at least one modern JavaScript framework, specifically Ember.js or React.js, and the ecosystem around those frameworks
• You have designed and implemented large, scalable web applications and have an appreciation for clean, elegant, and simple code
• You have experience taking Rails apps from idea to production
• You understand the value and nuances of Test-Driven Development
• You’re comfortable working with remote teams, using GitHub, Slack, Notion, and Zoom to collaborate

Bonus Points

• You have a good understanding of web application security and best practices
• Working knowledge of managing environments using Docker, MySQL, Postgres, Redis, NGINX, and various AWS services
• Confident working with production environments to help troubleshoot problems
• Experience with Linux
• Infrastructure management via Terraform/Ansible
• Experience with compliance standards PCI/HIPAA

Benefits

We offer a competitive benefits program including:

• Medical, Dental & Vision Coverage
• Supplemental health and wellness benefit - Modern Health and Vivawell
• Work From Home stipend
• Flexible Time Off (FTO), wellbeing days, Summer Fridays, and Mid-Year and Year-End Reflect & Recharge (Company Holidays), Paid Holidays
• Christmas Bonus (15-day aguinaldo)
• Monthly meal/grocery voucher via Si Vale card
• Catered Lunch
• A relocation bonus for candidates joining us from a different city
• Annual Bonus
• Tuition Reimbursement
• Savings Fund
• Employee Resource Groups (ERGs)

Mexico Job Applicant Privacy Notice

Thank you for your interest in opportunities at Practicease S.C. (operating locally for SimplePractice). Please note that when you submit your resume or application materials to us for employment purposes in Mexico, your personal data will be processed in accordance with the Practicease S.C. Job Applicant Privacy Notice under the Ley Federal de Protección de Datos Personales en Posesión de los Particulares (LFPDPPP).

Summary of Privacy Practices:

• Data Controller: Practicease S.C., located at Paseo de la Reforma 115 - 2003, Col. Lomas de Chapultepec, Miguel Hidalgo, C.P. 11000, Mexico City.
• Purposes: We collect your contact, academic, professional, and evaluation data to process your application, conduct skill assessments, manage candidate pipelines via Greenhouse and Workday, and prepare onboarding/payroll materials if hired.
• Data Retention: Candidate records and application materials are retained in our talent database for up to 18 months from your last interaction.
• Your Rights (ARCO): You may access, correct, cancel, or oppose the processing of your personal data, or exercise any privacy rights at any time by contacting our team at hr@simplepractice.com.

For full details on how we handle your personal data, please review our complete Practicease S.C. Job Applicant Privacy Notice (Full Notice).

Security & Fraud Warning Practicease S.C. and SimplePractice have been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages.

All official recruitment emails will be sent from the domains @simplepractice.com, no- reply@greenhouse.io, or no-reply@linkedin.com. Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.

Please note that Practicease S.C. and SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.

Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.

The amount below represents the expected annual base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.

Base Compensation Range

$1,297,920—$1,622,400 MXN

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.