HCL Software Hiring For Devops Engineer_Pune & Bangalore

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:

  5+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).