Senior Python Engineer

Worldwide leader in automotive safety systems

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 , 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.

• 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
• Ensure high availability, scalability, and performance of orchestration services
• Collaborate with Dev Ops on CI/CD, containerization, and release management
• Contribute to system architecture, technical design, and code quality standards

• 5+ years of professional Python engineering experience
• Strong expertise in microservices architecture and distributed systems
• 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/No
  
  SQL)
• Familiarity with event‑driven architectures and message brokers

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

• Flexible working format — remote, office-based or flexible
• A competitive salary and good compensation package
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing

Project: N-iX is a global software solutions and engineering services company.