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).