SME Microsoft Azure IaaS, Azure Kubernetes Service

Job description

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 Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. Opens in a new tab. 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