Senior Software Engineer AI-Native, Backend Foundry
New
L
Life360Mobile App, Family Safety
Within the US and CanadaFull-TimeSenior
Salary129000 - 192000 USD per year
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Job Details
- Experience
- 6+ years
- Required Skills
- AWSDockerJavaKubernetesSpring BootApache Kafka
Requirements
- 6+ years of backend software engineering experience
- Strong proficiency with Java
- Strong proficiency with Spring Boot
- 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)
- Comfortable with containerized deployments
- Heavy user of agentic workflows
- Growth mindset
- Collaborative approach
- Ownership mentality
- AI-native working style (using AI tooling as a development partner)
- Thoughtful communication
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.
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