At a Glance
- Tasks: Lead the technical direction of cloud systems for innovative connected devices.
- Company: Join Life360, a remote-first company dedicated to keeping families connected.
- Benefits: Enjoy competitive pay, flexible PTO, and comprehensive health benefits.
- Other info: Mentor engineers and drive cultural change while working on cutting-edge technology.
- Why this job: Shape the future of AI-native engineering in a dynamic, impactful environment.
- Qualifications: 12+ years in backend/cloud systems with strong leadership and AI experience.
Remote, USA; Remote, Canada
About Life360
Life360's mission is to keep people close to the ones they love. Our category‑leading mobile app and Tile tracking devices 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 91.6 million monthly active users (MAU) across more than 180 countries. 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, Pet GPS trackers, 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 Sr. Staff Cloud Engineer on the Devices Cloud team, you will own the technical direction of the cloud systems that power Life360's connected hardware — Tile trackers, Jiobit wearables, and emerging device categories. This is a systems‑level leadership role: you are the recognized technical authority for our device cloud infrastructure, spanning real‑time state management, high‑frequency telemetry ingest, and the integration layer that connects physical hardware to family‑facing experiences. At this level, your work extends well beyond implementation. You set technical direction, define architectural standards, mentor Staff and Senior engineers, and partner with engineering and product leadership to align the technical roadmap with company goals. You operate across teams and functional groups — influencing firmware, mobile, platform, and data teams — and your decisions shape systems serving tens of millions of families daily. You are also a leader in AI‑native engineering. You don’t just use AI — you define how it should be used. You architect agent‑driven workflows, codify practices that multiply team output, and partner with engineering leadership to spread these patterns across the broader organization.
What You'll Do
- Own the technical architecture and long‑term roadmap for Devices Cloud systems — device connectivity, telemetry ingest, state management, command/control, and data pipelines — ensuring they are scalable, secure, and resilient at Life360's scale.
- Define and drive system‑level technical direction across multiple teams, identifying architectural trade‑offs, resolving cross‑team design conflicts, and aligning engineering efforts with company strategy.
- Lead AI‑native engineering practices for Devices Cloud: architect agentic workflows, codify patterns for AI‑assisted spec writing, code generation, test coverage, and incident response — and partner with org leadership to extend these playbooks broadly.
- Partner with firmware, mobile, product, and platform teams to define APIs, integration standards, and device‑driven workflows that translate cleanly across the hardware‑software boundary.
- Drive the architecture and delivery of large‑scale, cross‑team initiatives — from conception through production — managing dependencies, unblocking teams, and maintaining accountability for outcomes.
- Anticipate system bottlenecks, failure modes, and security risks before they materialize; define safeguards and engineering standards that prevent class‑of‑problem recurrences.
- Mentor and grow Staff and Senior engineers across the team: provide architectural guidance, conduct high‑quality technical reviews, and act as a force multiplier for team output.
- Collaborate with engineering and product leadership to influence organizational priorities, advocate for technical investments, and communicate technical strategy to executive stakeholders.
- Represent the team in cross‑functional forums; produce clear, concise architectural documentation and roadmap artifacts accessible to both technical and non‑technical audiences.
- Participate in on‑call rotation and lead high‑severity incident response, including post‑mortems and systemic remediation.
What We're Looking For
- 12+ years of experience designing and operating large‑scale backend or cloud infrastructure systems — with a strong preference for IoT, telematics, or hardware‑adjacent domains.
- Demonstrated track record of setting technical direction across teams, driving architectural decisions, and aligning engineering roadmaps with business goals.
- Deep expertise with cloud‑native infrastructure (AWS: EKS, Lambda, DynamoDB, SQS, Kinesis, etc.), distributed systems design, and high‑throughput data pipelines.
- Strong hands‑on experience with agentic AI workflows — not just prompt engineering, but architecting multi‑agent systems, managing context, and building AI‑native development practices at a team or org level.
- Proven ability to mentor Staff and Senior engineers, elevate team‑wide engineering standards, and drive cultural change through influence rather than authority.
- Exceptional communication skills: able to distill complex architectural concepts for diverse audiences, from junior engineers to executive leadership.
- Ability to navigate ambiguity, manage competing priorities across groups, and lead through influence in a cross‑functional environment.
- Experience with high‑frequency ingest systems, time‑series data, and streaming platforms (Kafka, Kinesis, or similar).
- Bachelor’s Degree in a Technical field, or equivalent experience.
Nice‑to‑Have
- Experience with IoT, telematics, embedded, or firmware‑adjacent systems.
- Background in SRE practices, reliability engineering, and progressive delivery.
- Familiarity with observability platforms (Prometheus, Grafana, OpenTelemetry, DataDog).
- Experience contributing to industry conversations: open‑source projects, conference talks, or technical publications.
- Knowledge of hardware/firmware communication protocols (MQTT, BLE, CoAP, etc.).
AI coding tools and benefits
- 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.
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
- Equipment, tools, and reimbursement support for a productive remote environment
- Free Life360 Platinum Membership for your preferred circle
- Free Tile Products
Equal Employment Opportunity
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. Even if you don’t meet 100% of the above qualifications, you should still seriously consider applying!
Sr. Staff Backend Engineer AI-Native, Devices Cloud employer: Life360
Contact Detail:
Life360 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr. Staff Backend Engineer AI-Native, Devices Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and backend systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practicing common technical questions and scenarios. Use mock interviews with friends or online platforms to get comfortable discussing your experience and problem-solving approach.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Sr. Staff Backend Engineer AI-Native, Devices Cloud
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience with cloud infrastructure and AI-native engineering, as these are key aspects of the job. We want to see how your skills align with our mission at Life360!
Showcase Your Leadership Skills: Since this is a senior role, it's important to demonstrate your ability to lead and mentor others. Share examples of how you've influenced technical direction or improved team practices in your previous roles. We love seeing candidates who can elevate their teams!
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language to explain your experiences and achievements. Remember, we want to understand your journey without getting lost in jargon or overly complex explanations.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application gets to the right people quickly. Plus, it’s the best way to stay updated on your application status. We can't wait to hear from you!
How to prepare for a job interview at Life360
✨Know Your Tech Inside Out
Make sure you’re well-versed in the cloud infrastructure and backend systems relevant to the role. Brush up on AWS services like EKS, Lambda, and DynamoDB, as well as distributed systems design. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly knowledgeable.
✨Showcase Your AI-Native Experience
Since this role is all about AI-native engineering, be prepared to discuss how you've integrated AI into your workflows. Share specific examples of how you've architected agentic workflows or used AI tools in your previous projects. This will demonstrate your ability to lead in this innovative space.
✨Prepare for Cross-Functional Collaboration
This position requires working across various teams, so think of examples where you’ve successfully collaborated with firmware, mobile, or product teams. Highlight your communication skills and how you’ve influenced decisions without direct authority. This will show that you can navigate complex environments effectively.
✨Mentorship Matters
As a senior engineer, mentoring others is key. Be ready to talk about your experience in guiding junior or mid-level engineers. Discuss how you’ve elevated team standards and contributed to cultural change. This will reflect your leadership qualities and commitment to team growth.