TechOps-CloudOps-Azure-DevOps-Senior Professional
Ernst Young · Thiruvananthapuram · onsite · Posted today
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About this role
Job Summary
We are looking for a skilled Senior Cloud DevOps Engineer with deep expertise in the Azure cloud platform and experience applying AI to CloudOps. This role is responsible for end-to-end infrastructure and deployment automation, CI/CD engineering, reliability, and incident resolution, while using generative AI and AIOps capabilities to improve observability, triage, root cause analysis, runbook automation, and operational efficiency. The role will lead escalations, design secure and governed AI-enabled operations solutions, and collaborate with engineering, infrastructure, security, data, and AI teams to deliver highly available services.
Service line - Position Title: Tech Ops_Cloud Ops_Azure_Dev Ops_Senior
Responsibilities
- Responsible for decision-making, optimizing processes, resource management, and overseeing team management as needed for task execution.
- Accountable for allocating personnel, supervising team members, assigning tasks, ensuring that the team has the necessary tools and support to succeed in their roles and optimizing and evaluating their performance to meet organizational goals.
- Azure Kubernetes Service (AKS)
- Design, deploy, and manage scalable AKS clusters for mission-critical workloads.
- Implement secure cluster networking, workload identities, and governance policies.
- Optimize AKS performance, reliability, and cost as part of the platform architecture.
- Integrate AKS with CI/CD pipelines, GitOps workflows, and monitoring solutions.
- ARM Templates & Bicep
- Develop reusable ARM/Bicep infrastructure-as-code templates for automated deployments.
- Standardize resource deployments through parameterized and modular Bicep templates.
- Migrate legacy ARM templates to Bicep for improved maintainability.
- Ensure consistency, compliance, and repeatability across environments using IaC best practices.
- Azure DevOps
- Architect and implement end-to-end CI/CD pipelines for applications and infrastructure.
- Lead DevOps automation initiatives across build, release, testing, and deployment workflows.
- Implement secure DevOps practices, including secrets management and pipeline governance.
- Manage Azure Repos, Boards, Pipelines, Artifacts, and environment configurations.
- Landing Zone Architecture
- Design and implement Azure Landing Zones aligned with Microsoft Cloud Adoption Framework (CAF).
- Define foundational architecture for identity, networking, governance, policies, and management groups.
- Build scalable enterprise-ready landing zones for multi-subscription and multi-environment setups.
- Implement guardrails such as Azure Policies, RBAC structures, and blueprint-style templates.
- Terraform & Terraform Cloud
- Develop and manage Terraform modules for consistent provisioning across environments.
- Implement Terraform Cloud/Enterprise for remote state management and secure pipelines.
- Automate Azure infrastructure deployments using version-controlled IaC.
- Enforce policies, workspaces, and governance using Terraform Cloud capabilities.
- AI-enabled CloudOps & Agentic Automation
- Design and implement AI-assisted operational workflows for alert enrichment, incident triage, event correlation, root cause analysis, knowledge retrieval, and runbook execution.
- Build and operate secure cloud operations agents using Microsoft Foundry, Azure OpenAI, Foundry Agent Service, Azure AI Search, and orchestration frameworks such as Microsoft Agent Framework or Semantic Kernel.
- Develop retrieval-augmented generation (RAG) solutions grounded in approved runbooks, knowledge articles, telemetry, and configuration data; apply vector, hybrid, and semantic search patterns.
- Integrate agents securely with operational tools and APIs using function calling and Model Context Protocol (MCP), with approval gates for production actions.
- Engineer production controls for identity, private networking, secrets, prompt-injection defence, data protection.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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About Ernst & Young

Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
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