DevOps Engineer

5 years

0 Lacs

Posted:3 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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).

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