SME - Microsoft Azure - IaaS, Azure Kubernetes Service

Job Summary

We are seeking a Senior Cloud & DevOps Engineer to design, build, and operate secure, scalable cloud platforms across Azure. 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

Shift : 12:00PM,3:00PM & 10:00PM IST (24/7 Rotational Shift)

No of Requirement : 1

Key Responsibilities

• Design and operate cloud-native platforms across  Azure.
• Build and optimize CI/CD pipelines using 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.
• Strong expertise in 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

Skill Area

Technologies / Scope Covered

Expected Proficiency

Cloud Platforms

Azure, cloud architecture, networking, IAM

SME

CI/CD & DevOps Engineering

Azure DevOps, GitHub, GitHub Actions, pipeline design & optimization

SME

Containers & Orchestration

Docker, Kubernetes (design, operations, scaling, troubleshooting)

SME

Infrastructure & Configuration Automation

Terraform, Ansible, Infrastructure as Code patterns

SME

Scripting & Automation

Python, Bash, PowerShell, API‑driven automation

Advanced

Observability & Operations

Datadog, Splunk, monitoring, alerting, RCA, SRE practices

Advanced

Generative AI & LLM Platforms

Azure OpenAI, OpenAI APIs, Amazon Bedrock

Advanced

Agentic AI & Enterprise Automation

Enterprise Agentic AI frameworks, MCP‑style workflows, autonomous operations

Advanced

AI‑Assisted Development & Productivity

GitHub Copilot, AI‑integrated IDEs (VS Code, JetBrains)

Advanced

Security, Governance & Platform Excellence

Guardrails, DevSecOps, compliance, cost optimization, IDP enablement

Intermediate