Senior Python Engineer

We are looking for Senior Python Engineer to join our team.
Our client - the fortune 500 company and a bigger car safety systems manufacturer is planning to develop a Global AI Orchestrator — an enterprise AI-driven Quality Assurance platform operating across cloud, on-prem, and edge environments. The solution integrates Azure services (Azure Entra ID, Azure ML Studio, Azure IoT Hub) with existing customer systems and edge devices to deliver secure, scalable command-and-control capabilities.

The platform manages large fleets of Windows and Linux edge devices — enabling provisioning, software deployment, updates, decommissioning, and inventory exposure via APIs. It supports OCI-compliant container orchestration on the edge, enforces secure communications, and is designed to scale across multiple customer edge use-cases.

Responsibilities:

• Design and implement backend services for the central command-and-control platform


• Develop scalable REST/gRPC APIs for device lifecycle management (provisioning, deployment, updates, inventory)


• Build orchestration services managing OCI container workloads on edge devices


• Integrate AI/ML pipelines and model operations from Azure ML Studio


• Implement secure device communication (TLS, certificate management, encrypted channels)


• Ensure high availability, scalability, and performance of orchestration services


• Collaborate with DevOps on CI/CD, containerization, and release management


• Support cross-platform device management (Windows & Linux)


• Contribute to system architecture, technical design, and code quality standards

Requirements:

• 5+ years of professional Python engineering experience


• Strong expertise in microservices architecture and distributed systems


• Proven experience designing production-grade APIs


• Hands-on experience with Docker / OCI containers


• Experience working with IoT or edge device ecosystems


• Solid understanding of secure communication protocols (TLS, PKI, cert rotation)


• Experience integrating with cloud platforms (Azure)


• Knowledge of container orchestration frameworks (Kubernetes, K3s, Edge K8s)


• Exposure to MLOps / AI model lifecycle management


• Strong database experience (SQL/NoSQL)


• Familiarity with event-driven architectures and message brokers


• Experience operating in Linux environments

Nice to have:

• Experience with Azure IoT Hub, Azure ML Studio, Azure Entra ID


• Experience with device fleet provisioning at scale


• Automotive, Manufacturing, or Industrial QA domain experience


• Familiarity with Zero-Trust or outbound-only edge security models


• Contributions to platform observability (logging, telemetry, tracing)