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Responsibilities:
- Own system architecture for reliable, observable, and maintainable edge services (clear boundaries, contracts, and failure modes).
- Set engineering standards (design reviews/RFCs, coding guidelines, test strategies, CI quality gates) and act as a mentor and role model for junior engineers.
- Design clean interfaces with backend services (gRPC/REST, schemas, versioning, authentication, timeouts, retries, idempotency).
- Champion software quality: ensure testability, determinism, and reproducibility; drive unit, integration, and end-to-end test strategies with meaningful coverage.
- Drive performance & reliability through profiling, tracing, and data-driven improvements (latency, throughput, error budgets).
- Collaborate cross-functionally with Backend, DevOps, QA, and Product teams to design and deliver robust, evolvable solutions in production.
Skills
- 10+ years of professional software engineering experience, preferably with 3+ years of hands-on Python in production.
- Strong grasp of software design principles (SOLID, modularity, cohesion/coupling, DDD-lite where helpful).
- Proven experience in software architecture for services: clean layering, clear contracts, configuration management, and observability (metrics/logs/traces).
- Testing excellence: building pragmatic test pyramids, using fixtures/mocks, property-based tests where appropriate, and CI pipelines with quality gates.
- Expertise in backend communication: API design, schema/contract versioning, and resilience patterns (circuit breakers, retries, backoff).
- Strong Linux proficiency (process model, networking basics, filesystems, permissions) and comfort with CLI tooling.
- Excellent documentation & communication skills: clear design docs, ADRs/RFCs, high-signal code reviews, mentoring by example.
- Fluency in English.
Nice to have:
- Familiarity with NVIDIA inference stacks (Jetson/RTX), TensorRT, DeepStream/GStreamer.
- Experience in low-level languages for performance-critical paths (C/C++ or Rust).
- Knowledge of hardware-in-the-loop test setups, camera/video ingest (V4L2/RTSP), and industrial protocols (MQTT, OPC-UA, Modbus).
- Understanding of device security (TPM, secure boot, encrypted storage) and safe rollout strategies (canary, A/B testing).
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Key Skills
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