Software Engineer II AI-Native, Backend Devices Cloud

Life360 is a company dedicated to keeping families connected through innovative technology. They are seeking a Backend Engineer II to build and improve cloud services for connected hardware, collaborating with various teams to ensure quality and reliability in their products.

Responsibilities:

• Build and maintain components and features of Devices Cloud services — telemetry ingest, state management, command/control, and data pipelines — with a focus on quality and reliability
• Own well-defined features and smaller designs from implementation through production, breaking down tasks and delivering accurate estimates with occasional guidance
• Use AI-native engineering practices in your daily work: AI assistants for coding, testing, refactoring, and debugging, while owning and reviewing everything you ship
• Work with firmware, mobile, product, and platform teams to implement APIs and integrations across the hardware-software boundary
• Contribute to cross-team efforts, and escalate risks and blockers early
• Thoroughly test your own code to catch logic issues before integration, and learn cross-functional requirements around security and scalability
• Follow code review best practices, give and receive constructive feedback, and learn from senior engineers
• Translate technical specifications into high-quality code, and contribute to team documentation
• Communicate progress clearly and surface blocking issues early to your team and manager
• Participate in on-call rotation and contribute to incident response and post-mortems

Requirements:

• 4+ years of experience in software engineering experience building backend or cloud services
• Experience building defined features, investigating and fixing bugs, and writing test code with growing independence
• Working knowledge of cloud-native infrastructure (AWS: EKS, Lambda, DynamoDB, SQS, Kinesis, etc.) and a desire to deepen your distributed-systems skills
• Hands-on experience using AI coding assistants for real engineering tasks, with the judgment to review and own what you ship
• Solid coding and problem-solving skills, and a habit of self-testing to deliver low-defect work
• A clear communicator who shares progress, asks insightful questions, and explains their work to peers and their manager
• Able to work semi-independently, unblock yourself, and ask for guidance when you need it
• Experience with high-frequency ingest systems, time-series data, and streaming platforms (Kafka, Kinesis, or similar)
• Bachelor's Degree in a Technical field, or equivalent experience
• Experience with IoT, telematics, embedded, or firmware-adjacent systems
• Background in SRE practices, reliability engineering, and progressive delivery
• Familiarity with observability platforms (Prometheus, Grafana, OpenTelemetry, DataDog)
• Experience contributing to industry conversations: open-source projects, conference talks, or technical publications
• Knowledge of hardware/firmware communication protocols (MQTT, BLE, CoAP, etc.)