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Responsibilities:
Contribute to the design and implementation of reliable and maintainable edge services.
Collaborate on defining clear service interfaces with backend systems(gRPC/REST, schemas, authentication, retries).
Write clean, testable, and well-documented code,with attention to long-term maintainability.
Participate in code reviewsand contribute to the team's coding guidelines and best practices.
Support quality assuranceby writing and maintaining unit, integration, and end-to-end tests.
Monitor and troubleshootperformance issues with guidance from senior engineers, and suggest improvements.
Work cross-functionallywith Backend, DevOps, QA, and Product teams to build and evolve solutions in production.
Skills
3+ yearsof professional software engineering experience, preferably withhands-on Python in production.
Solid understanding ofsoftware design principles(e.g., modularity, cohesion, SOLID basics).
Practical experience withbackend communication and API integration.
Familiarity withtesting practices(unit and integration testing, use of mocks/fixtures).
Comfort working inLinux environmentsand usingCLI tooling.
Good documentation and communication skills: writing clear design notes, participating actively in code reviews.
Fluency inEnglish.
Nice to have:
Exposure toNVIDIA inference stacks(Jetson/RTX),TensorRT,DeepStream/GStreamer.
Knowledge inlow-level languagesfor performance-critical paths (C/C++ or Rust).
Experience withhardware-in-the-loop test setups, camera/video ingest (V4L2/RTSP), and industrial protocols (MQTT, OPC-UA, Modbus).
Understanding ofdevice security(TPM, secure boot, encrypted storage) andsafe rollout strategies(canary, A/B testing).
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Want to put your job search on autopilot?
Join our platform, complete a 6-minute AI screening interview, and get auto-applied to 100s of high-paying roles.
Sign up now at and let the opportunities come to you.