Sr DevOps Engineer II

Job description

AI-First DevSecOps • Integrate AI-assisted tools into CI/CD pipelines for test optimization, anomaly detection, and workflow automation • Apply AI to enhance incident detection, troubleshooting, and operational insights • Leverage AI for security automation, including vulnerability prioritization and remediation Cloud Platform Engineering • Support and operate Azure-based infrastructure, with a focus on AKS • Improve platform reliability through monitoring, automation, and proactive troubleshooting • Enable scalable environments for modern and emerging workloads CI/CD & Developer Enablement • Design and maintain CI/CD pipelines using Azure DevOps and GitHub Actions • Drive adoption of GitHub Enterprise and reusable pipeline templates • Improve developer experience through automation and self-service capabilities Infrastructure as Code & Modernization • Develop and maintain Terraform modules aligned with Cloud Adoption Framework (CAF) • Support large-scale cloud and platform migration initiatives • Ensure consistency, compliance, and reusability across environments DevSecOps & Governance • Implement secure SDLC and DevSecOps best practices • Support container security, vulnerability management, and policy enforcement • Collaborate with security teams on governance and Responsible AI practices Collaboration & Enablement • Partner with application teams to onboard and adopt platform capabilities • Provide troubleshooting and operational support • Contribute to scalable operating models (e.g., TWOW) across teams Knowledge, Skills And Abilities Education • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (Master’s degree a plus). Experience • 8+ years of relevant hands on experience in DevSecOps. Knowledge and skills (general and technical) Required Skills • Cloud: Azure (core services, networking, IAM) • Containers: Docker and Kubernetes (AKS preferred) • CI/CD: Azure DevOps and/or GitHub Actions • Infrastructure as Code: Terraform • Security: Secrets management, vulnerability scanning, secure SDLC practices • Scripting: Python, PowerShell, or Bash • Operations: Troubleshooting, incident response, and reliability engineering • Observability: Monitoring, logging, and alerting fundamentals • Experience or strong interest in AI-assisted engineering tools (e.g., GitHub Copilot) and their application in DevOps and security workflows • Ability to operate within enterprise governance and Responsible AI guidelines Preferred Qualifications • Experience designing and operating AKS platforms at scale • Advanced CI/CD architecture (reusable workflows, security gates) • Experience with platform engineering and developer experience optimization • Knowledge of container governance and image lifecycle management • Familiarity with identity and access management (Entra ID, RBAC) • Exposure to SLOs, observability strategy, and incident diagnostics • Experience with cloud cost optimization (FinOps) Nice to Have • Experience with GitHub Enterprise migrations • Exposure to enterprise cloud transformation initiatives (CAF or similar) • Experience with security automation or compliance programs • Interest or experience in AIOps or AI-driven observability