Senior backend engineer building AI-native, high-throughput device services for Life360’s family safety platform. Supporting telemetry, connectivity, and pet experiences across US and Canadian remote teams.
Responsibilities
Design, build, and maintain backend services supporting device connectivity, telemetry ingest, health monitoring, and command/control operations
Collaborate with firmware, mobile, and product teams to define APIs and workflows for device features
Deliver scalable, resilient systems in a microservices environment running on AWS, including EKS, Lambda, DynamoDB, and SQS
Build and own high-throughput data pipelines using Kafka or similar streaming technology
Instrument services for observability, reliability, and SLO compliance
Participate in on-call rotations and live incident response
Write clean, testable, performant code and improve CI/CD and automation
Orchestrate AI coding agents for specification writing, code generation, test authoring, incident triage, pull request review, and system design
Help establish and evolve AI-native engineering practices for the Pet Experiences team
Deliver features to production weekly
Requirements
Bachelor’s in Computer Science or equivalent experience
5+ years experience building backend services in Java, Go, Python, or similar languages
Experience with microservices architecture, RESTful API design, and distributed systems
Strong skills with cloud infrastructure (AWS preferred), container orchestration, and deployments
Experience with databases (relational and/or NoSQL), caching layers, and event/streaming systems
Comfortable collaborating across teams and articulating technical tradeoffs
Hands-on agentic AI workflow experience
Experience with IoT or telematics systems (nice-to-have)
Familiarity with Kafka, Kinesis, or other streaming platforms (nice-to-have)
Experience with high-frequency ingest systems and time-series data (nice-to-have)
Background with observability tooling such as Prometheus, Grafana, and OpenTelemetry (nice-to-have)
Knowledge of SRE practices and automated testing frameworks (nice-to-have)
Daily use of AI coding assistants such as Claude Code, Cursor, and GitHub Copilot
Accountability for reviewing AI-generated code
Ability to automate prompting strategies and share effective practices
Ability to stay current with rapidly changing AI tooling
Benefits
Competitive pay and benefits
Medical, dental, vision, life and disability insurance plans (100% paid for US employees)
Supplemental medical and dental plans for Canadian employees
Paid parental leave
401(k) plan with company matching program in the US
RRSP with DPSP plan for Canadian employees
Mental Wellness Program & EAP
Flexible PTO
12 company-wide days off throughout the year
Learning & Development programs
Equipment, tools, and reimbursement support for a productive remote environment
Free Life360 Platinum Membership for your preferred circle
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