Senior Software Engineer II, AI Native, Experimentation, ML

Life360

Senior Software Engineer II at Life360 developing AI-native backend infrastructure for experimentation and machine learning. Collaborating with teams to enhance services for millions of users.

Posted 6/18/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $118,500 - $216,500 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSCloudDistributed SystemsJavaKafkaSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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

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Hard Skills & Tools

JavaSpring BootApache Kafkadistributed systemscloud infrastructureAWScontainerized deploymentsAI-Native engineering practicesLLMsagentic workflows

Soft Skills

collaborationmentoringproblem-solvingcommunicationcontinuous improvementarchitectural decision-makingcode reviewsteam processestechnical standardsincident response