Senior DevOps Engineer (Azure) (#4741)

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)