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Urgent! DevOps Engineer Job | HCLSoftware

DevOps Engineer



Job description

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).


Required Skill Profession

Computer Occupations



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