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Über
Life360 is a Remote First company. All positions, unless otherwise specified, can be performed remotely (within the US and Canada).
About the Devices Cloud Team The Devices Cloud team owns the backend services that power Life360's fleet of connected hardware — Tile trackers, Jiobit wearables, and emerging device categories. We manage real-time device state, high-frequency telemetry ingest, and the cloud infrastructure that translates physical-world signals into reliable, family-facing experiences. Our work sits at the intersection of hardware, firmware, mobile, and platform — and runs at a scale where correctness and reliability aren't optional.
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 backend development looks like for complex, hardware-connected systems.
About the Job As a Senior Backend Engineer on the 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 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 Devices Cloud team — playbooks the broader org can adopt — while delivering backend systems that serve millions of families daily.
For candidates based in the US, the salary range for this position is $148,000 to $216,500 USD. For candidates based out of Canada, the salary range is 171,500 to 201,000 CAD.
Note:
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 for device connectivity, telemetry ingest, health monitoring, and command/control operations — using AI (Claude Code) as a first-class collaborator in your daily development workflow.
Use agentic workflows to dramatically increase delivery velocity without sacrificing quality: from generating service scaffolding, to writing and validating test coverage, to triage and root cause analysis during incidents.
Help define and codify AI-native engineering practices for the Devices Cloud team — establishing patterns the broader org can adopt.
Collaborate with firmware, mobile, and product teams to define APIs and workflows for device-driven features.
Build and own data pipelines for high-throughput telemetry streams using Kafka or similar streaming technologies.
Deliver scalable, resilient microservices on AWS (EKS, Lambda, DynamoDB, SQS, etc.).
Instrument services for observability, reliability, and SLO compliance.
Participate in on-call rotation and live incident response.
Write clean, testable, performant code; contribute to CI/CD automation and improve team-wide engineering standards.
Mentor teammates and help evolve the team's AI-native engineering culture.
What We're Looking For
5+ years of experience building and operating high-quality backend services in Java, Go, Python, or similar languages.
Hands-on experience prompting, evaluating, and building with LLMs
— not just autocomplete, but as a genuine development partner.
Deep experience with agentic workflows, prompt engineering, context window management, and MCP/function calling.
A track record of using AI tooling to multiply your own output — faster specs, better test coverage, cleaner code, faster debugging.
Strong experience with microservices architecture, RESTful API design, and distributed systems.
Solid skills with cloud infrastructure (AWS preferred), container orchestration, and production deployments.
Experience with databases (relational and/or NoSQL), caching, and event/streaming systems.
Ability to collaborate across teams and articulate technical tradeoffs clearly.
A genuine drive to define what AI-native looks like for complex, hardware-connected systems — you're not waiting for the playbook, you want to write it.
Nice-to-Have
Experience with IoT, telematics, or embedded/hardware-adjacent systems.
Familiarity with Kafka, Kinesis, or other high-throughput streaming platforms.
Experience with high-frequency ingest systems and time-series data.
Background with observability tooling (Prometheus, Grafana, OpenTelemetry, DataDog).
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 and help teammates earlier in their AI workflow adoption get up to speed.
Continuous learning:
The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.
Our Benefits
Competitive pay and benefits
Medical, dental, vision, life and disability insurance plans (US and Canada)
401(k) plan with company matching (US) / RRSP with DPSP matching (Canada)
Employee Assistance Program (EAP) for mental well-being
Flexible PTO, plus several company-wide days off throughout the year
Winter and Summer week-long synchronized company shutdowns
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!
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Sprachkenntnisse
- English
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