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Metro DevOps role, popular title, broad skillset and multi-technology requirements increase candidate competition.
AWS/Terraform/Kubernetes focus is transferable across industries but Bedrock and GenAI specialization raises sensitivity.
Mandatory 9+ years and specific AWS, Terraform, Kubernetes, and Bedrock requirements enforce high shortlisting strictness.
Design, implement, and maintain scalable cloud-native platforms on AWS incorporating AI/ML and Generative AI workloads using Amazon Bedrock.
Develop and manage infrastructure as code using Terraform and Kubernetes platforms such as Amazon EKS, including implementing CI/CD pipelines and DevSecOps practices.
Drive cloud cost optimization, operational excellence, and troubleshooting complex infrastructure issues in enterprise-scale environments.
9+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure.
Strong hands-on expertise with AWS cloud services, Infrastructure as Code using Terraform, Kubernetes (preferably Amazon EKS), and Amazon Bedrock.
Proficiency in CI/CD implementation using GitHub Actions, GitLab CI, or Azure DevOps; scripting skills in Python, Bash, and/or PowerShell.
English proficiency at B2 Upper Intermediate level; Location requirement: Noida, India.
Experienced in platform engineering with a focus on cloud-native AWS solutions integrating AI/Generative AI workloads.
Skilled in operationalizing MLOps including model deployment and lifecycle management within enterprise environments.
Demonstrates expertise in implementing DevSecOps, observability solutions, and cloud cost governance at scale.