Senior Software Engineer II, AI Native, Experimentation & ML

Life360

5d•$118,500 - $216,500•Remote

About The Position

Life360 is hiring a backend AI-Native Senior Software Engineer II. This role is central to how the team builds its experimentation and ML infrastructure, develops its services, and how we use AI for development in the future. The engineer will design and build the systems that power experimentation and recommendation at Life360, including high-throughput data pipelines, low-latency serving services, feature infrastructure, and alerting and monitoring. The role also involves building and evolving modern AI-Native engineering workflows and publishing AI-native backend engineering playbooks for the broader engineering organization. Success in the first year includes shipping meaningful improvements to the experimentation platform, establishing agentic workflow playbooks, and operating with demonstrably higher velocity than a non-AI-native engineer.

Requirements

6+ years of backend software engineering experience
Strong proficiency with Java and 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) 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
Growth mindset
Collaborative approach
Ownership mentality
AI-native working style
Thoughtful communication

Nice To Haves

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

Responsibilities

Design and build high-quality APIs and services for our experimentation platform and recommendation/personalization systems.
Work with AI (Claude Code) as a first-class collaborator, orchestrating agents for specs, code generation, testing, verification, and reviews.
Help define and codify AI-Native engineering practices for the team, establishing playbooks for the broader org.
Build across the backend stack as needed, shipping polished, performant, and reliable experiences.
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 increase delivery of strong outcomes.
Mentor team members and contribute to team processes, technical standards, and AI-native engineering practices.
Support performance, reliability, and accessibility across owned features.

Benefits

Competitive pay and benefits
Medical, dental, vision, life and disability insurance plans (100% paid for US employees)
Supplemental plans for medical and dental for Canadian employees
401(k) plan with company matching program in the US
RRSP with DPSP plan for Canadian employees
Employee Assistance Program (EAP) for mental wellness
Flexible PTO
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