Tech Stack
Job Description, Responsibilities & Requirements
About the Position
Life360 is hiring a Senior Software Engineer II (Cloud), AI Native, Experimentation & ML to join our team. This role is pivotal in building and operating AI-native platforms and services that enable the company to learn and personalize at scale. The position is remote-friendly, available in the USA or Canada.
About Life360
Life360’s mission is to keep people close to the ones they love. Our mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most. With approximately 97.8 million monthly active users across more than 180 countries, Life360 is a household name and the must-have mobile-based membership for families.
Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above.
About The Team
The Experimentation & Machine Learning Intelligence team at Life360 sits within the Growth org. We build the platforms and services that let the company learn and personalize at scale. Our work helps every product team ship with confidence and measure real impact for the families who rely on Life360.
We are a product-minded, AI-Native engineering team. AI isn’t just a tool we use - it’s how we work. We’ve redesigned our team workflows around AI, treating it as a first-class collaborator at every stage: ideation, coding, testing, review, and iteration.
Responsibilities
- Design and build high-quality APIs and services for our experimentation platform and recommendation/personalization systems.
- Work with AI as a first-class collaborator, 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, 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.
- 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
Technical foundation:
- 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
What matters most to us:
- Growth mindset
- Collaborative approach
- Ownership mentality
- AI-native working style
- Thoughtful communication
- We believe culture fit and problem-solving ability matter more than checking every technical box.
Nice to Have
- Experience building or operating experimentation, A/B testing platforms or feature-flagging systems
- Experience supporting recommendation, personalization, or ML-serving systems
- 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 for real, substantive tasks: analysis, coding, refactoring, testing, navigating codebases, and documentation.
- Judgment and ownership: AI-generated code gets the same review you'd give any PR. You are accountable for everything you ship.
- Velocity: We expect senior engineers who use AI well to operate with meaningful leverage.
- 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.
- Continuous learning: The tooling is changing fast. You stay current and bring recommendations to the team when something would meaningfully improve how we work.
We Offer
- 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 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
- Be Direct With Respect
- Members Before Metrics
- High Intensity, High Impact
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.
We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any legally protected status.
We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
#LI-Remote