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).