Senior Backend Engineer II, AI Native, Devices Cloud

Life360

10h•$148,000 - $216,500•Remote

About The Position

Life360 is seeking a Senior Backend Engineer II for their AI-Native Devices Cloud team. This role involves building and improving cloud services that power Life360's connected hardware, including Tile trackers and Jiobit wearables. The engineer will own components related to device state management, telemetry ingest, and the integration layer connecting hardware to family-facing experiences. The position requires working with growing independence, contributing to technical designs, breaking down tasks, and delivering reliable, well-tested code with occasional guidance. Collaboration with firmware, mobile, platform, and data teams is essential. The role also emphasizes growing as an AI-native engineer, using AI as a first-class collaborator in coding, testing, and debugging, and taking full ownership of shipped work. The engineer will contribute to experiences used by tens of millions of families daily.

Requirements

5+ 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.

Nice To Haves

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.).

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.