Designs and operates Azure and AKS cloud platforms, CI/CD pipelines, Terraform infrastructure, and DevSecOps controls. Responsibilities include improving reliability, observability, incident response, container security, vulnerability remediation, developer self-service, cloud migrations, governance, and AI-assisted engineering workflows. The role partners with application and security teams to expand platform adoption, enforce secure SDLC practices, and support scalable enterprise operating models.
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)
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
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
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
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
MetLife Mahārāshtra, IND Office
MetLife Pune, IN Office

EON West LP-II, 2nd & 3rd Floor, Tower D, S.no. 106(P), 107(P), 108(P)/1, Maharashtra, India, 411057
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