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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.
Bereit?
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