Senior Backend Engineer II, AI Native, Devices Cloud

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 elevate 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

• 5+ years of experience in software engineering 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.