[Remote] Sr DevOps Engineer-Remote-(If in MN then Hybrid)

Note: The job is a remote job and is open to candidates in USA. Optum is hiring a Senior DevOps Engineer to lead release engineering and improve software delivery across Azure cloud platforms. The role focuses on CI/CD pipelines, Terraform-managed infrastructure, production-ready AI automation, and collaboration with development, SRE, security, and platform teams.

Responsibilities

• Lead the end-to-end release lifecycle for Java-based applications deployed on Azure, enforcing release governance, change standards, deployment readiness criteria, and environment parity practices
• Design, implement, and optimize CI/CD pipelines using GitHub Actions and Azure DevOps to ensure secure and efficient software delivery across the SDLC
• Design, develop, deploy, and operationalize production-ready AI agents and agent-based automation to improve release engineering, deployment support, incident triage, and engineering productivity with an emphasis on responsible AI use
• Build, provision, and manage Azure infrastructure using Terraform across services including AKS, App Services, networking, storage, identity, and monitoring
• Implement and support modern deployment strategies including blue/green, canary, and rolling releases to enhance release quality, speed, resilience, and observability
• Identify and implement enterprise automation solutions using approved tools to reduce manual effort, accelerate root cause analysis, and strengthen release reliability
• Troubleshoot and resolve complex issues across application, pipeline, infrastructure, deployment, and automation layers
• Partner closely with development, SRE, security, and platform teams to build reusable automation frameworks, release standards, and operational runbooks
• Evaluate emerging technologies and automation trends to inform solution design, strategic innovation, and continuous process improvement
• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

Skills

• 3+ years of experience in Release Engineering, DevOps, Site Reliability Engineering, or Software Engineering
• 3+ years of hands-on experience supporting Java applications, including Spring Boot, Maven (Must have) and/or Gradle, Microservices
• 3+ years of experience with Azure services (such as AKS, App Services, networking, identity, monitoring, and storage) and managing infrastructure with Terraform across the full lifecycle
• 3+ years of CI/CD experience using GitHub Actions, Azure DevOps, or similar pipeline platforms
• 2+ years of Hands-on experience designing, building, and implementing AI agents or agent-based automation for engineering, release, platform, or operational workflows
• 2+ years of experience with Docker, Kubernetes, Git workflows, artifact repositories, deployment strategies, and pipeline quality gates
• Bachelor's degree or 4+ years of equivalent software engineering or DevOps experience in lieu of a degree
• Strong understanding of AI-assisted automation, prompt-driven tooling, agent orchestration, and practical enterprise use cases in software delivery and operations
• Experience defining release processes, deployment controls, and operational best practices in enterprise environments
• Strong troubleshooting skills across application, build, deployment, infrastructure, and automation domains
• Ability to work cross-functionally and communicate effectively with engineering, operations, and security stakeholders

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution

Company Overview

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