Senior Software Engineer AI-Native, backend Foundry

Life360

4d•Remote

About The Position

Life360 is hiring an AI-Native Backend Focused Engineer — a senior engineer who doesn’t just use AI tools, but thinks natively in them. You’ll be central to how the Foundry team builds its products, develops its ecosystem tooling, and how we use AI for development in the future. You’ll design and build features and systems to help grow Life360s partner ecosystem, helping take our platform from zero to one - building out auth, system proxying, alerting and monitoring, everything. You’ll build and evolve our modern AI-Native engineering workflows — from how we write code, to how we run standups, to how we think about team velocity. You’ll evolve the standard others follow.

Requirements

6+ years of backend software engineering experience
Strong proficiency with Java and Spring Boot (this is our primary stack)
Experience with Apache Kafka or similar distributed streaming platforms
Solid understanding of distributed systems concepts: consistency, fault tolerance, replication, and data durability
Comfortable with cloud infrastructure (AWS preferred) and containerized deployments
Heavy user of agentic workflows, understands research-plan-implement cycle but doesn’t outsource thinking to agents
Growth mindset - You structure problems precisely, you learn quickly, you can show interest outside “your lane”, and you are always happy to try something new
Collaborative approach - You communicate clearly, work well across teams, and value diverse perspectives
Ownership mentality - You take responsibility for your work from design through production and beyond
AI-native working style - You use AI tooling (Claude Code or equivalent) as a genuine development partner: delegating discrete tasks, reviewing outputs critically, and running parallel workstreams rather than hand-holding one agent at a time
Thoughtful communication - You can explain technical tradeoffs and articulate ideas effectively

Nice To Haves

Background in stream processing frameworks (Kafka Streams, Flink)
Experience with schema registries and schema evolution strategies
Knowledge of Confluent Platform or Confluent Cloud
Understanding of CI/CD patterns, GitHub Actions, and artifact management (Maven, Nexus)
Experience with observability tooling (Prometheus, Grafana, DataDog)
Previous work on ecosystems or integration tooling

Responsibilities

Design and build high-quality features integrating third party data and systems.
Work with AI (Claude Code) as a first-class collaborator — your primary workflow involves orchestrating agents to create specs, generate code and tests, verify results, and perform reviews.
Help define and codify AI-Native engineering practices for the Foundry team, establishing playbooks the broader org can adopt.
Build across the full stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users.
Collaborate closely with product managers and designers to turn complex user problems into elegant, scalable engineering solutions.
Contribute to architectural decisions, code reviews, and a culture of craft and continuous improvement.
Participate in on-call rotation and incident response.
Use agentic workflows to dramatically increase the delivery of strong outcomes — moving faster without sacrificing quality.
Mentor team members and contribute to team processes, technical standards, and help evolve the team's AI-native engineering practices.
Support performance, reliability, and accessibility across the features you own.