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 up-to-date 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 manage
📌 Sr DevOps Engineer II (Pune)
🏢 MetLife
📍 Pune