Senior DevOps Engineer (Azure)

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. There are possibilities of business trips (Europe).

Key Responsibilities:

• Architect and maintain CI/CD pipelines across cloud, on-prem, and edge layers


• Design deployment frameworks for large fleets of edge devices


• Build and operate container orchestration platforms for OCI workloads


• Automate provisioning, software rollout, patching, and decommissioning processes


• Manage Azure infrastructure (IoT Hub, ML Studio, Entra ID integration)


• Implement secure connectivity (zero-trust, certificate-based auth, outbound edge comms)


• Ensure observability across distributed systems (logs, metrics, traces)


• Support SSO enablement and identity federation


• Optimize release strategies, rollback mechanisms, and update resilience


• Collaborate with engineering teams to productionize backend and AI services
  Establish platform reliability, scalability, and operational excellence standards


• Requirements:


• 5+ years in DevOps / Platform Engineering roles


• Strong experience with the Microsoft Azure cloud ecosystem


• Hands-on expertise with Docker and OCI containerization


• Experience with Kubernetes or lightweight edge orchestrators (K3s, MicroK8s, etc.)


• Proven experience supporting hybrid (cloud + on-prem) infrastructures


• Expertise in Infrastructure as Code (Terraform, Bicep, ARM, Ansible)


• Strong CI/CD experience (Azure DevOps, GitHub Actions, GitLab CI, Jenkins)


• Deep understanding of networking and platform security (TLS, PKI, firewalls)


• Scripting/programming skills (Bash, Python, PowerShell)


• Experience supporting Linux-based production systems

Nice to have:

• Experience managing IoT or edge device fleets


• Familiarity with Azure IoT Hub and device provisioning services


• Exposure to MLOps environments and Azure ML pipelines


• Knowledge of SSO integrations (SAML, OIDC, Entra ID)


• Experience with air-gapped or restricted network deployments


• Background in Automotive, Manufacturing, or Industrial environments


• Experience implementing observability stacks (Prometheus, Grafana, ELK, OpenTelemetry)


• Understanding of secure software supply chain practices (SBOM, image signing)