Subject Matter Expert (Support&Ops)
India
Apply now
Job Description
Subject Matter Expert (Support&Ops)
Chennai, Tamil Nadu

Job Summary

Azure, Terraform, Linux & AI Experience 8–12 Years Job Summary We are seeking a highly skilled Cloud Engineer (L3) with strong expertise in Microsoft Azure, Terraform, Linux administration, and AI technologies. The ideal candidate will be responsible for designing, implementing, automating, and supporting cloud infrastructure while driving AI/GenAI adoption across enterprise environments. This role requires deep technical knowledge of cloud-native services, Infrastructure as Code (IaC), automation, security, and AI integration. Key Responsibilities Azure Cloud Engineering Design, deploy, and manage scalable, secure, and highly available Azure infrastructure. Implement and support Azure services including: Azure Virtual Machines Virtual Networks (VNet) Azure Storage Azure App Services Azure Kubernetes Service (AKS) Azure Load Balancer Azure Monitor Azure Backup and Recovery Perform cloud capacity planning, performance tuning, and cost optimization. Troubleshoot complex Azure infrastructure and application issues. Infrastructure as Code (Terraform) Develop, maintain, and optimize Terraform modules for Azure resource provisioning. Automate infrastructure deployment and lifecycle management. Implement CI/CD pipelines for Terraform deployment and change management. Manage Terraform state files, workspaces, and version control integration. Linux Administration Administer and support Linux environments (RHEL, Ubuntu, CentOS). Handle system configuration, patching, upgrades, performance tuning, and hardening. Manage user access controls, security policies, and system monitoring. Troubleshoot OS, networking, storage, and application-related issues. Automation & DevOps Develop automation scripts using Python, Shell, or PowerShell. Implement and manage CI/CD pipelines using Azure DevOps or GitHub Actions. Automate infrastructure provisioning, monitoring, and operational tasks. Integrate security and compliance controls within deployment pipelines. AI / Generative AI Design and implement AI-powered solutions leveraging Azure AI Services and Azure OpenAI. Integrate AI/GenAI capabilities into enterprise applications and operational workflows. Develop AI automation use cases such as intelligent chatbots, document processing, knowledge management, and IT operations support. Collaborate with business and technical teams to identify AI adoption opportunities. Ensure responsible AI, security, governance, and compliance standards are followed. Monitoring & Security Implement monitoring, logging, alerting, and observability solutions. Manage cloud security controls, IAM, RBAC, and policy enforcement. Perform vulnerability remediation and security compliance reviews. Support audit requirements and security best practices. Required Skills Cloud & Infrastructure Microsoft Azure (Expert Level) Azure Virtual Networking Azure Compute Services Azure Storage Services Azure Kubernetes Service (AKS) Azure Backup and Disaster Recovery IaC & Automation Terraform Azure DevOps Git/GitHub CI/CD Pipelines PowerShell / Bash / Python Operating Systems Linux Administration (RHEL, Ubuntu, CentOS) System Performance Tuning Security Hardening Package and Patch Management AI & GenAI Azure OpenAI Service Azure AI Services Prompt Engineering AI Solution Integration GenAI Use Cases and Governance AI Automation Workflows

Key Responsibilities

Azure, Terraform, Linux & AI Experience 8–12 Years Job Summary We are seeking a highly skilled Cloud Engineer (L3) with strong expertise in Microsoft Azure, Terraform, Linux administration, and AI technologies. The ideal candidate will be responsible for designing, implementing, automating, and supporting cloud infrastructure while driving AI/GenAI adoption across enterprise environments. This role requires deep technical knowledge of cloud-native services, Infrastructure as Code (IaC), automation, security, and AI integration. Key Responsibilities Azure Cloud Engineering Design, deploy, and manage scalable, secure, and highly available Azure infrastructure. Implement and support Azure services including: Azure Virtual Machines Virtual Networks (VNet) Azure Storage Azure App Services Azure Kubernetes Service (AKS) Azure Load Balancer Azure Monitor Azure Backup and Recovery Perform cloud capacity planning, performance tuning, and cost optimization. Troubleshoot complex Azure infrastructure and application issues. Infrastructure as Code (Terraform) Develop, maintain, and optimize Terraform modules for Azure resource provisioning. Automate infrastructure deployment and lifecycle management. Implement CI/CD pipelines for Terraform deployment and change management. Manage Terraform state files, workspaces, and version control integration. Linux Administration Administer and support Linux environments (RHEL, Ubuntu, CentOS). Handle system configuration, patching, upgrades, performance tuning, and hardening. Manage user access controls, security policies, and system monitoring. Troubleshoot OS, networking, storage, and application-related issues. Automation & DevOps Develop automation scripts using Python, Shell, or PowerShell. Implement and manage CI/CD pipelines using Azure DevOps or GitHub Actions. Automate infrastructure provisioning, monitoring, and operational tasks. Integrate security and compliance controls within deployment pipelines. AI / Generative AI Design and implement AI-powered solutions leveraging Azure AI Services and Azure OpenAI. Integrate AI/GenAI capabilities into enterprise applications and operational workflows. Develop AI automation use cases such as intelligent chatbots, document processing, knowledge management, and IT operations support. Collaborate with business and technical teams to identify AI adoption opportunities. Ensure responsible AI, security, governance, and compliance standards are followed. Monitoring & Security Implement monitoring, logging, alerting, and observability solutions. Manage cloud security controls, IAM, RBAC, and policy enforcement. Perform vulnerability remediation and security compliance reviews. Support audit requirements and security best practices. Required Skills Cloud & Infrastructure Microsoft Azure (Expert Level) Azure Virtual Networking Azure Compute Services Azure Storage Services Azure Kubernetes Service (AKS) Azure Backup and Disaster Recovery IaC & Automation Terraform Azure DevOps Git/GitHub CI/CD Pipelines PowerShell / Bash / Python Operating Systems Linux Administration (RHEL, Ubuntu, CentOS) System Performance Tuning Security Hardening Package and Patch Management AI & GenAI Azure OpenAI Service Azure AI Services Prompt Engineering AI Solution Integration GenAI Use Cases and Governance AI Automation Workflows

Skill Requirements

Azure, Terraform, Linux & AI Experience 8–12 Years Job Summary We are seeking a highly skilled Cloud Engineer (L3) with strong expertise in Microsoft Azure, Terraform, Linux administration, and AI technologies. The ideal candidate will be responsible for designing, implementing, automating, and supporting cloud infrastructure while driving AI/GenAI adoption across enterprise environments. This role requires deep technical knowledge of cloud-native services, Infrastructure as Code (IaC), automation, security, and AI integration. Key Responsibilities Azure Cloud Engineering Design, deploy, and manage scalable, secure, and highly available Azure infrastructure. Implement and support Azure services including: Azure Virtual Machines Virtual Networks (VNet) Azure Storage Azure App Services Azure Kubernetes Service (AKS) Azure Load Balancer Azure Monitor Azure Backup and Recovery Perform cloud capacity planning, performance tuning, and cost optimization. Troubleshoot complex Azure infrastructure and application issues. Infrastructure as Code (Terraform) Develop, maintain, and optimize Terraform modules for Azure resource provisioning. Automate infrastructure deployment and lifecycle management. Implement CI/CD pipelines for Terraform deployment and change management. Manage Terraform state files, workspaces, and version control integration. Linux Administration Administer and support Linux environments (RHEL, Ubuntu, CentOS). Handle system configuration, patching, upgrades, performance tuning, and hardening. Manage user access controls, security policies, and system monitoring. Troubleshoot OS, networking, storage, and application-related issues. Automation & DevOps Develop automation scripts using Python, Shell, or PowerShell. Implement and manage CI/CD pipelines using Azure DevOps or GitHub Actions. Automate infrastructure provisioning, monitoring, and operational tasks. Integrate security and compliance controls within deployment pipelines. AI / Generative AI Design and implement AI-powered solutions leveraging Azure AI Services and Azure OpenAI. Integrate AI/GenAI capabilities into enterprise applications and operational workflows. Develop AI automation use cases such as intelligent chatbots, document processing, knowledge management, and IT operations support. Collaborate with business and technical teams to identify AI adoption opportunities. Ensure responsible AI, security, governance, and compliance standards are followed. Monitoring & Security Implement monitoring, logging, alerting, and observability solutions. Manage cloud security controls, IAM, RBAC, and policy enforcement. Perform vulnerability remediation and security compliance reviews. Support audit requirements and security best practices. Required Skills Cloud & Infrastructure Microsoft Azure (Expert Level) Azure Virtual Networking Azure Compute Services Azure Storage Services Azure Kubernetes Service (AKS) Azure Backup and Disaster Recovery IaC & Automation Terraform Azure DevOps Git/GitHub CI/CD Pipelines PowerShell / Bash / Python Operating Systems Linux Administration (RHEL, Ubuntu, CentOS) System Performance Tuning Security Hardening Package and Patch Management AI & GenAI Azure OpenAI Service Azure AI Services Prompt Engineering AI Solution Integration GenAI Use Cases and Governance AI Automation Workflows

Other Requirements

Azure, Terraform, Linux & AI Experience 8–12 Years Job Summary We are seeking a highly skilled Cloud Engineer (L3) with strong expertise in Microsoft Azure, Terraform, Linux administration, and AI technologies. The ideal candidate will be responsible for designing, implementing, automating, and supporting cloud infrastructure while driving AI/GenAI adoption across enterprise environments. This role requires deep technical knowledge of cloud-native services, Infrastructure as Code (IaC), automation, security, and AI integration. Key Responsibilities Azure Cloud Engineering Design, deploy, and manage scalable, secure, and highly available Azure infrastructure. Implement and support Azure services including: Azure Virtual Machines Virtual Networks (VNet) Azure Storage Azure App Services Azure Kubernetes Service (AKS) Azure Load Balancer Azure Monitor Azure Backup and Recovery Perform cloud capacity planning, performance tuning, and cost optimization. Troubleshoot complex Azure infrastructure and application issues. Infrastructure as Code (Terraform) Develop, maintain, and optimize Terraform modules for Azure resource provisioning. Automate infrastructure deployment and lifecycle management. Implement CI/CD pipelines for Terraform deployment and change management. Manage Terraform state files, workspaces, and version control integration. Linux Administration Administer and support Linux environments (RHEL, Ubuntu, CentOS). Handle system configuration, patching, upgrades, performance tuning, and hardening. Manage user access controls, security policies, and system monitoring. Troubleshoot OS, networking, storage, and application-related issues. Automation & DevOps Develop automation scripts using Python, Shell, or PowerShell. Implement and manage CI/CD pipelines using Azure DevOps or GitHub Actions. Automate infrastructure provisioning, monitoring, and operational tasks. Integrate security and compliance controls within deployment pipelines. AI / Generative AI Design and implement AI-powered solutions leveraging Azure AI Services and Azure OpenAI. Integrate AI/GenAI capabilities into enterprise applications and operational workflows. Develop AI automation use cases such as intelligent chatbots, document processing, knowledge management, and IT operations support. Collaborate with business and technical teams to identify AI adoption opportunities. Ensure responsible AI, security, governance, and compliance standards are followed. Monitoring & Security Implement monitoring, logging, alerting, and observability solutions. Manage cloud security controls, IAM, RBAC, and policy enforcement. Perform vulnerability remediation and security compliance reviews. Support audit requirements and security best practices. Required Skills Cloud & Infrastructure Microsoft Azure (Expert Level) Azure Virtual Networking Azure Compute Services Azure Storage Services Azure Kubernetes Service (AKS) Azure Backup and Disaster Recovery IaC & Automation Terraform Azure DevOps Git/GitHub CI/CD Pipelines PowerShell / Bash / Python Operating Systems Linux Administration (RHEL, Ubuntu, CentOS) System Performance Tuning Security Hardening Package and Patch Management AI & GenAI Azure OpenAI Service Azure AI Services Prompt Engineering AI Solution Integration GenAI Use Cases and Governance AI Automation Workflows
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.