SME - Kubernetes, Terraform

Job Summary

Senior Cloud & DevOps Engineer

Platform Engineering | Automation | Agentic AI

Exp : 10+ years

We are seeking a Senior Cloud & DevOps Engineer to design, build, and operate secure, scalable cloud platforms across Azure and AWS. This role combines Cloud Engineering, DevOps, Platform Engineering, and Agentic AI to drive intelligent automation, improve operational efficiency, and accelerate software delivery.

You will leverage Generative AI, Agentic AI, Kubernetes, CI/CD, Infrastructure as Code, and observability platforms to create reliable, AI-powered engineering ecosystems. The role includes working with enterprise-approved AI frameworks that incorporate governance, security, and compliance controls.

Key Responsibilities

• Design and operate cloud-native platforms across Azure and AWS.
• Build and optimize CI/CD pipelines using Azure DevOps and GitHub.
• Implement Infrastructure as Code using Terraform and automation using Ansible.
• Manage and support Kubernetes platforms for scalable and resilient workloads.
• Develop automation solutions using Python, Bash, and PowerShell.
• Integrate Generative AI and Agentic AI into DevOps and operational workflows.
• Implement AI-driven incident triage, root cause analysis, and remediation.
• Extend enterprise Agentic AI frameworks with secure, governed automation.
• Apply agentic patterns including tool orchestration, context management, and workflow delegation.
• Enable observability and reliability using Datadog, Splunk, and cloud-native monitoring tools.
• Partner with engineering teams to build Internal Developer Platforms (IDP) and self-service capabilities.
• Champion security, compliance, governance, reliability, and cost optimization best practices.

Skill Requirements

Cloud & DevOps

• Hands-on experience with Azure and AWS.
• Strong expertise in Azure DevOps and GitHub CI/CD pipelines.
• Deep Kubernetes administration and troubleshooting experience.
• Infrastructure as Code using Terraform.
• Automation and configuration management using Ansible.
• Scripting expertise in Python, Bash, and PowerShell.
• Experience with Datadog, Splunk, and cloud observability platforms.
• Strong understanding of DevOps, SRE, and Platform Engineering practices.

Generative AI & Agentic AI (Mandatory)

• Experience applying Generative AI within DevOps, automation, or operational environments.
• Hands-on exposure to Azure OpenAI, Amazon Bedrock, and enterprise AI platforms.
• Experience with orchestration frameworks such as LangChain or Semantic Kernel.
• Knowledge of agentic workflows including tool calling, task planning, delegation, and context management.
• Experience integrating AI agents into cloud operations, CI/CD, and platform services.
• Proficiency with GitHub Copilot and AI-enabled development environments.
• Ability to design secure, governed, and observable AI-driven automation for enterprise production environments.

Other Requirements

Relevant Certification on AWS