Bangalore, Karnataka
Job Summary
We are seeking a highly skilled Senior DevOps Engineer to lead the design, automation, deployment, and operational management of enterprise-scale Azure and Databricks platforms. The ideal candidate will have deep expertise in Azure services, Databricks environments, GitHub-based CI/CD pipelines, Infrastructure as Code (IaC), and Disaster Recovery (DR) automation.
This role will be responsible for establishing standardized deployment frameworks, automating environment provisioning, implementing resilient DR strategies, and ensuring highly available, secure, and scalable cloud-native solutions that support critical business and regulatory applications.
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 environment 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.
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