Bangalore, Karnataka

Job Summary

Key Responsibilities

Cloud Platform Deployment & Automation

Design, implement, and maintain automated CI/CD pipelines using GitHub Actions and GitHub Enterprise.

Deploy and manage Azure services across Development, QA, UAT, and Production environments.

Automate infrastructure provisioning using Terraform, Bicep, ARM Templates, or similar IaC tools.

Establish deployment standards, governance controls, and reusable deployment templates.

Implement blue-green, rolling, and zero-downtime deployment strategies.

Azure Services Management

Deploy, configure, and support : Azure Data Factory (ADF)

Azure Service Bus

Azure Web Apps

Azure Function Apps

Azure SQL Database / Managed Instance

Azure Key Vault

Azure Storage Accounts

Azure Monitor & Log Analytics

Azure Application Insights

Azure Virtual Networks, Private Endpoints, NSGs

Azure API Management

Azure App Configuration

Azure Entra ID (Azure AD)

Databricks Platform Engineering

Deploy and manage : Databricks Workspaces

Databricks Notebooks

Databricks Jobs

Databricks Workflows/Pipelines

Delta Live Tables (DLT)

Unity Catalog

Databricks Apps

Databricks AI/Agent Framework Components

Databricks Model Serving Endpoints

Databricks Asset Bundles (DAB)

Databricks Secrets and Cluster Policies

Serverless and Dedicated Compute Resources

DevOps & CI/CD

Build enterprise-grade deployment pipelines for Azure and Databricks services.

Implement automated testing, code quality checks, security scans, and release gates.

Manage setting promotion strategies across SDLC stages.

Integrate GitHub pipelines with Azure and Databricks resources.

Implement version control and release management standards.

Disaster Recovery & Business Continuity

Design and implement active-passive or active-active DR architectures.





Build automated DR provisioning and synchronization mechanisms.

Automate failover and failback processes for Azure and Databricks environments.

Develop and test DR runbooks and recovery procedures.

Ensure compliance with defined RTO and RPO objectives.

Conduct periodic DR drills and environment validation exercises.

Skill Requirements

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Experience

8+ years of DevOps, Cloud Engineering, or Platform Engineering experience.

5+ years of hands-on Azure platform experience.

3+ years of hands-on Databricks platform deployment and administration experience.

Proven experience implementing enterprise-scale CI/CD pipelines using GitHub Actions.

Technical Skills : Azure Data Factory (ADF)

Azure Service Bus

Azure Web Apps

Azure Function Apps

Azure SQL Database / Managed Instance

Azure Key Vault

Azure Storage Accounts

Azure Monitor & Log Analytics

Azure Application Insights

Azure Virtual Networks, Private Endpoints, NSGs

Azure API Management

Azure App Configuration

Azure Entra ID (Azure AD)

Databricks Platform Engineering

Databricks Workspaces

Databricks Notebooks

Databricks Jobs

Databricks Workflows/Pipelines

Delta Live Tables (DLT)

Unity Catalog

Databricks Apps

Databricks AI/Agent Framework Components

Databricks Model Serving Endpoints

Databricks Asset Bundles (DAB)

Databricks Secrets and Cluster Policies

Serverless and Dedicated Compute Resources

Other Requirements

1.Azure DevOps Engineer Expert certification is preferred but not mandatory required. #body.unify div.unify-button-container.unify-apply-now : focus, #body.unify div.unify-button-container.unify-apply-#body.unify div.unify-button-container.unify-apply-now: focus, #body.unify div.unify-button-container.unify-apply

📌 Azure DevOps Lead Technical Consultant (Bengaluru)
🏢 HCLTech
📍 Bengaluru