Life360

Life360

Senior Software Engineer II (Cloud), AI Native, Experimentation & ML

Remote, USA; Remote, Canada · Senior

Sponsorship not specified$119k-$217kDetected 14 days ago
JavaSpringDistributed SystemsCode ReviewGitAWSCloud PlatformsCI/CDGitHub ActionsPrometheusGrafanaDatadogKafkaMachine LearningData EngineeringLLMsA/B TestingAccessibilityResearchLeadershipCommunicationProblem Solving

About the role

  • 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.
  • That means AI isn't just a tool we use - it's how we work.

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.
  • 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.
  • Support performance, reliability, and accessibility across the features you own.
  • You'll be central to how the team builds its experimentation and ML infrastructure, develops its services, and how we use AI for development in the future.
  • You'll design and build the systems that power experimentation and recommendation at Life360 - high-throughput data pipelines, low-latency serving services, feature infrastructure, and the alerting and monitoring that keep them reliable.
  • You'll build and evolve our modern AI-Native engineering workflows - from how we write code, to how we run standups, to how we think about team velocity.
  • 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

Requirements

  • 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
  • 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
  • Thoughtful communication - You can explain technical tradeoffs and articulate ideas effectively
  • We're happy to help you grow into areas where you have less experience.

Nice to have

  • 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

Compensation

  • For candidates based in the US, the salary range for this position is $118,500 to $216,500 USD.
  • For candidates based out of Canada, the salary range for this position is $171,500 to $201,000 CAD.

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.
  • Employee Assistance Program (EAP) for mental wellness.
  • Flexible PTO and 12 company wide days off throughout the year.
  • Learning & Development programs.
  • Equipment, tools, and reimbursement support for a productive remote environment.

Company info

  • The Experimentation & Machine Learning Intelligence team at Life360 sits within the Growth org and builds the platforms and services that let the company learn and personalize at scale.
  • We own the experimentation platform (A/B testing, feature flagging, metrics and analysis) and the infrastructure behind our recommendation and personalization systems - the data pipelines, feature stores, and online serving paths that turn signals into better member experiences.
  • We've redesigned our team workflows around
  • What We're Looking For
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This listing is sourced directly from Life360's careers page and normalized into a canonical job model.