Senior Backend Engineer II - AI-Native, Devices Cloud

About Life
360

Life
360'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. Life
360 serves approximately 91.6 million monthly active users (MAU) across more than 180 countries.

Life
360 is a Remote First company. All positions, unless otherwise specified, can be performed remotely (within the US and Canada).

The Devices Cloud team owns the backend services that power Life
360'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.

As a Senior Backend Engineer on the Devices Cloud team, you'll build and operate the cloud services that power Life
360'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.

• 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, Dynamo
  
  DB, 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.

• 5+ years of experience building and operating high-quality backend services in Java, Go, Python, or similar languages.
• Hands-on experience prompting,…