Life360 - Senior Software Engineer II, AI Native, Experimentation & ML
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Requirements
• Technical foundation: • 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 • At least 1 year of hands-on experience prompting, evaluating, and building with LLMs • What matters most to us: • 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 • We believe culture fit and problem-solving ability matter more than checking every technical box. We're happy to help you grow into areas where you have less experience. • Nice-to-Have • Experience building or operating experimentation, A/B testing platforms or feature-flagging systems • Experience supporting recommendation, personalization, or ML-serving systems (feature stores, online/offline pipelines, low-latency model serving) • 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 • AI-Native Expectations • 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. • Daily use: • Judgment and ownership: AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship. • Judgment and ownership: • 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. • Velocity: • Team leadership: You share what works. You automate prompting strategies that others can build on and help teammates earlier in their AI workflow adoption get up to speed. • Team leadership: • Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work. • Continuous learning:
Responsibilities
• Design and build high-quality APIs and services for our experimentation platform and recommendation/personalization systems — experiences that are reliable, performant, and genuinely useful to product teams and members. • 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 team, establishing playbooks the broader org can adopt. • Build across the backend stack as needed — shipping polished, performant, and reliable experiences to tens of millions of users. • Collaborate closely with product managers and data teams 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.
Benefits
• Competitive pay and benefits. • Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees. • 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees. • Employee Assistance Program (EAP) for mental wellness. • Flexible PTO and 12 company wide days off throughout the year. • Winter and Summer Weeklong Synchronized Company Shutdowns • Learning & Development programs. • Equipment, tools, and reimbursement support for a productive remote environment. • Free Life360 Platinum Membership for your preferred circle. • Free Tile Products • Life360 Values • Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference • Be a Good Person - We have a team of high integrity people you can trust. • Be Direct With Respect - We communicate directly, even when it’s hard. • Members Before Metrics - We focus on building an exceptional experience for families. • High Intensity, High Impact - We do whatever it takes to get the job done. • Our Commitment to Diversity • We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work.
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