DevOps Engineer

Senior DevOps Engineer Location: Pune & Bangalore Exp: 5+ years Objective: We are seeking a highly skilled and experienced Senior DevOps Engineer to lead the design, automation, and optimization of our cloud infrastructure on Azure . This role is critical to supporting a fast-growing, AI-driven Commerce platform. You will be responsible for building and maintaining robust CI/CD pipelines, ensuring secure and scalable operations for our microservices architecture, and collaborating with engineering and ML teams to streamline delivery and enable efficient multi-region deployments. About HCL Software: HCL Software is the software business division of HCLTech, fueling the Digital+ Economy by developing, sharing, and supporting solutions in five key areas: Business & Industry Applications AI and Intelligent Operations Total Experience Data & Analytics Cybersecurity These five solution areas represent massive opportunities for growth and enable total flexibility in deployment — efficiently managing data, applications, workloads, and infrastructure, leveraging our cloud options and the power of Gen AI. About HCL Commerce: HCL Commerce is a robust and scalable e-commerce platform that supports various business models including B2C, B2B, B2B2C, D2C, and MarketPlaces. Known for its enterprise-grade performance, HCL Commerce offers advanced features and AI capabilities to enhance online transactions and customer experiences. Responsibilities Infrastructure Architecture and Automation: Lead the end-to-end design, automation, and deployment of our cloud infrastructure on Azure using Infrastructure as Code (IaC) principles. CI/CD Pipeline Management: Build, maintain, and optimize robust Azure DevOps pipelines, integrating build, test, security scanning (SAST/DAST/SCA), and automated promotion across all environments. Azure Service Management: Own the management, optimization, and secure configuration of key Azure services, including AKS , Container Apps , API Management , Cosmos DB , Event Hub , Key Vault , and Application Gateway. Observability and Monitoring: Define and implement a comprehensive observability strategy using App Insights , Log Analytics , and Grafana to create actionable dashboards and alerts for system health and performance. Reliability and Scalability: Architect and manage multi-region deployments, ensuring high availability, disaster recovery (DR) readiness, and overall system resilience. Cross-Functional Collaboration: Work closely with engineering and ML teams to streamline the integration and deployment of AI models and microservices into our production environments. Continuous Improvement: Lead post-mortem and root cause analysis (RCA) efforts to drive continuous improvement in deployment reliability, performance, and security. Qualifications Experience: 7-12 years of experience in DevOps or Cloud Infrastructure Engineering, with at least 4+ years of deep, hands-on experience with Microsoft Azure . Cloud & DevOps Expertise: Deep hands-on experience with Azure DevOps , AKS (Azure Kubernetes Service), Container Apps , and APIM . Strong knowledge of Infrastructure as Code (IaC ), specifically Bicep and Terraform . Proficiency with Kubernetes , Helm charts , Docker , and container-based deployment workflows. Experience setting up monitoring, logging, and alerting pipelines (App Insights , Log Analytics , Prometheus , Grafana ). Understanding of Azure Identity, Security, and Key Vault integration. Core Competencies: Strong scripting skills in Bash, PowerShell, or Python for automation. Experience designing and managing secure network topologies (VNets, Subnets, DNS Zones, Peering, Private Endpoints). Proven expertise in CI/CD automation, release management, and environment governance. Preferred Qualifications: Experience with Databricks , Event Hub , or Cosmos DB integration for data/ML workloads. Exposure to multi-region architecture and BCP/DR planning. Experience managing agentic AI or ML model deployment pipelines. Familiarity with orchestration tools like Dagster, Argo, or Airflow. Knowledge of container security, OPA/Gatekeeper policies, and Azure Policy enforcement. Experience supporting e-commerce or SaaS platforms at scale. Education: Bachelor’s degree in Computer Science, Engineering, or a relevant field (or equivalent practical experience).