Senior Software Engineer AI-Native, backend Foundry

Life360

6h•$129,000 - $192,000•Remote

About The Position

Life360’s mission is to keep people close to the ones they love, offering a category-leading mobile app and Tile tracking devices that empower members to protect family, pets, and things with services like location sharing, safe driver reports, and crash detection. As of September 30, 2025, Life360 serves approximately 91.6 million monthly active users across more than 180 countries. The company is remote-first, with over 500 employees. The Foundry team is responsible for building Life360’s partner ecosystem and developer platform, which includes the full integration stack: partner-facing APIs, authentication flows, webhook receipt and delivery, and the gateway layer. They also manage critical shared infrastructure such as NetworkKit and authentication across Cloud, Android, and iOS. The team aims to create an extensible platform, modeled on leading developer platforms like Stripe, Twilio, and Squarespace, to enable rapid partner onboarding. Life360 is seeking an AI-Native Backend Focused Engineer, a senior engineer who thinks natively in AI tools. This role is crucial for how the Foundry team develops products, ecosystem tooling, and integrates AI into future development. The engineer will design and build features and systems to expand Life360's partner ecosystem, covering areas like authentication, system proxying, alerting, and monitoring. Additionally, they will be instrumental in evolving modern AI-Native engineering workflows for the team, setting standards for the broader organization.

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.