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Senior Software Engineer II, AI Native, Experimentation & ML

1 month ago
United States, Canada
Full-time
Senior
AI Engineer
Software Development
AWS CI/CD Datadog Flink GitHub Actions Grafana Java Kafka LLM Maven Microservices Prometheus Spring Boot
Apply Now
Life360

Life360

Life360 is the top family location safety app, offering advanced safety features to connect and protect millions of families worldwide.

Family Services
251-1K
Founded 2008
$140M raised
View All Jobs 10

Description

  • Design and build APIs and backend services for experimentation and recommendation/personalization systems.
  • Develop high-throughput data pipelines, low-latency serving services, feature infrastructure, and monitoring and alerting systems.
  • Work with AI coding tools as a core part of the development workflow to create specs, generate code and tests, verify results, and review outputs.
  • Define and document AI-native engineering practices and publish playbooks for broader engineering adoption.
  • Build across the backend stack to deliver reliable, performant experiences for tens of millions of users.
  • Collaborate with product managers and data teams to solve complex user problems with scalable engineering solutions.
  • Contribute to architectural decisions, code reviews, technical standards, and continuous improvement of team processes.
  • Participate in on-call rotation and incident response.
  • Mentor teammates and help evolve the team’s AI-native engineering practices.
  • Support performance, reliability, and accessibility for the features you own.

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, including consistency, fault tolerance, replication, and data durability.
  • Comfortable working with cloud infrastructure, with AWS preferred, and containerized deployments.
  • At least 1 year of hands-on experience prompting, evaluating, and building with LLMs.
  • Experience using agentic workflows and the research-plan-implement cycle without outsourcing critical thinking to agents.
  • Experience building or operating experimentation, A/B testing, or feature-flagging systems is preferred.
  • Experience supporting recommendation, personalization, or ML-serving systems, including feature stores, online/offline pipelines, or low-latency model serving, is preferred.
  • Background in stream processing frameworks such as Kafka Streams or Flink is preferred.
  • Experience with schema registries and schema evolution strategies is preferred.
  • Knowledge of Confluent Platform or Confluent Cloud is preferred.
  • Understanding of CI/CD patterns, GitHub Actions, and artifact management tools such as Maven and Nexus is preferred.
  • Experience with observability tooling such as Prometheus, Grafana, or DataDog is preferred.

Benefits

  • Competitive pay and benefits, including equity.
  • Medical, dental, vision, life, and disability insurance, with 100% employer-paid coverage for US employees and supplemental medical and dental plans for Canadian employees.
  • 401(k) with company matching in the US and RRSP with DPSP for Canadian employees.
  • Employee Assistance Program (EAP) for mental wellness.
  • Flexible PTO plus 12 company-wide days off each year.
  • Winter and summer weeklong synchronized company shutdowns.
  • Learning and development programs.
  • Equipment, tools, and reimbursement support for a productive remote work environment.
  • Free Life360 Platinum Membership and free Tile products.

Interested in this position?

Apply directly on the company website

Apply Now

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