Hiring: Senior DevOps Engineer (hybrid) Company: Johnson Controls Location: York, PA Job Posted Time: 2026-09-15 12:58:27 Employment Type: Remote Target Skills & Keywords : AI, Azure, Azure DevOps, Bash, CI/CD, Docker, Foundry, GitHub Actions, GitLab CI, Infrastructure as Code, Kubernetes, MLOps, Machine Learning, Manufacturing Execution Systems, Microservices, Model Registry, PowerShell, Product Lifecycle Management, Python, RBAC, SBOM, SQL, Terraform, VPN, Vault About the job Experience: •140 years, Johnson Controls has delivered performance where it really matters. Backed by advanced technology, lifecycle services and an industry-leading field organization, we elevate customer performance, turn goals into real-world results and help move society forward. •5+ years in DevOps, platform, SRE, or cloud infrastructure engineering. Required Skills: •How You Will Do It •Azure DevOps as a platform — organization and project structure, YAML pipelines, repositories and branch policies, artifact feeds, service connections, environments, and self-hosted agent pools including agents inside plant and DMZ networks. •Build deployment paths for the systems we actually run. Microservices are the easy case; you will also need controlled, repeatable release processes for integration artifacts, API layers, and configuration for COTS platforms ([CPQ], [PLM], [ERP], [MES]) that do not deploy like modern applications. •Design approval gates, change records, and audit evidence appropriate to systems that control what gets manufactured and shipped, without turning every deployment into a two-week ceremony. •Plan and execute deployments around production reality — maintenance windows, shift schedules, quarter-end order volume, and the fact that the factory does not stop for a release. •Manage infrastructure as code across all environments. Manual portal changes are a defect, not a workflow. •Manage the estate: Functions, Azure SQL and storage, Service Bus and Event Hubs, API Management, and the data platform •Networking and identity — VNets, private endpoints, hub-and-spoke topology, [ExpressRoute / site-to-site VPN] connectivity to plants, Entra ID, managed identities, Key Vault, and RBAC. Qualifications: •MLOps experience: Azure Machine Learning, model registries and inference endpoints, GPU capacity management, or LLMOps including prompt and evaluation versioning and token cost management. •Manufacturing or industrial environment experience, including OT network segmentation and plant cybersecurity practices. •Data platform operations: [Data Factory / Fabric], warehouse or lakehouse infrastructure, orchestration and pipeline reliability. •FinOps practice — cloud cost visibility, allocation, and optimization. •Azure certifications (AZ-400, AZ-104/305, or AI-102) and Kubernetes certifications (CKA). •Production infrastructure-as-code experience with [Terraform / Bicep], including managing multiple environments and state responsibly. Compensation: •$120,000 - $155,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!