Sr DevOps Engineer II

Description and Requirements

• 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)