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Metro location, general DevOps senior role, and broad in-demand skills create medium candidate competition.
Medium—DevOps skills transfer broadly, but Bedrock AI and enterprise constraints add specialization.
High due to an explicit 8+ years requirement and extensive mandatory tech stack and tools.
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Design, implement, and optimize end-to-end CI/CD pipelines and containerized platforms using Jenkins, GitHub, Terraform, Kubernetes (EKS), and ArgoCD.
Develop and maintain secure, scalable AWS architectures including serverless applications with AWS Lambda and integrate AI-powered solutions using AWS Bedrock.
Monitor system performance, troubleshoot complex issues, and collaborate across teams to enforce DevOps best practices, standards, and automation.
8+ years of experience in DevOps, Cloud Engineering, or related roles.
Strong hands-on experience with CI/CD tools (Jenkins, GitHub), Terraform, Kubernetes (EKS), ArgoCD, Groovy and Python scripting, and AWS cloud services including Lambda.
Experience with AI/ML integrations using AWS Bedrock.
Work Experience Required: 8+ years. Location: Chennai or flexible within specified locations.
Senior-level engineer able to both design and implement advanced DevOps and cloud infrastructure solutions.
Experience working in large, distributed enterprise environments with focus on platform engineering or site reliability engineering (SRE).
Demonstrated ability to integrate AI-driven DevOps automation and enterprise-scale CI/CD pipeline standardization and automation.