Senior Backend Engineer II, AI Native, Vertical Experiences

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...

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 basica...

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

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

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. 
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.

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.