DevOps Engineer

Senior DevOps Engineer

Location: Pune & Bangalore

Exp: 5+ years

Objective:

Azure

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).