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Metro-based mid-senior DevOps with broad AI/cloud requirements increases applicant competition.
Cloud DevOps skills broadly transferable, but enterprise AI and compliance increase industry specificity.
Explicit 6–9 years, required AWS/Azure certifications and specific AI/DevOps tech stack.
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Design and implement AI-assisted Infrastructure as Code (IaC) tools and optimize CI/CD pipelines for rapid, reliable cloud deployment.
Integrate AI-driven strategies into DevOps workflows for automated incident resolution and proactive defect detection.
Own cloud infrastructure engineering on AWS/Azure, ensuring security compliance, operational discipline, and continuous workflow improvement.
6–9 years of DevOps experience in large-scale enterprise environments.
AWS and/or Azure certifications (e.g., Solutions Architect, DevOps Engineer) required.
Proficiency with IaC tools such as Terraform and AWS/Azure CloudFormation.
Mandated onsite work: 4 days per week in Chennai office.
Experienced in integrating AI and Agentic AI technologies into DevOps and cloud infrastructure workflows.
Strong background in cloud observability platforms and container orchestration (Docker, Kubernetes, ECS, EKS).
Capable of aligning engineering outcomes with strategic business goals and influencing cross-functional stakeholders.