Devops + Azure Engineer | Hybrid |

Hiring: Senior DevOps / Cloud Engineer

Experience: 6+ Years

Primary Skills: DevOps + Azure

Cloud: AWS / Azure

Role Overview

We are looking for an experienced Senior DevOps / Cloud Engineer with strong expertise in AWS, Azure, Infrastructure as Code, CI/CD, Terraform, and Databricks. The role will focus on building secure and scalable cloud environments, automating deployments, managing Databricks infrastructure, and establishing production-ready DevOps practices.

Key Responsibilities

• Establish and manage development, testing, and production cloud environments.
• Implement Infrastructure as Code (IaC) and automated environment provisioning.
• Design and maintain CI/CD pipelines for Python services, data pipelines, analytical workloads, and Databricks.
• Configure deployment gates, release controls, rollback procedures, and environment promotion.
• Support Databricks workspace enablement, Unity Catalog, access management, secrets, networking, and monitoring.
• Configure and manage AWS infrastructure for production workloads.
• Implement IAM, identity management, authentication, and access controls.
• Establish centralized logging, monitoring, metrics, alerting, and audit trails.
• Implement security scanning, dependency management, secrets protection, and compliance controls.
• Support performance, availability, backup, recovery, and production-readiness activities.
• Collaborate with Development and QA teams to improve build, testing, and deployment automation.

Must-Have Skills

• 6+ years of experience in DevOps, Cloud Engineering, or Platform Engineering.
• Strong hands-on experience with AWS and production cloud infrastructure.
• Strong experience with Azure / Azure DevOps.
• Hands-on experience with Databricks administration, deployment automation, and Unity Catalog.
• Strong Terraform / CloudFormation / IaC experience.
• Experience building CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or similar tools.
• Strong knowledge of Docker and container orchestration.
• Experience with IAM, cloud networking, secrets management, monitoring, and security.
• Understanding of Python applications, data pipelines, and ML/AI deployment workflows.
• Experience working with enterprise, regulated, or security-sensitive platforms.

Good to Have

• Azure AD / Microsoft Entra ID
• Cross-cloud integrations
• ML/AI deployment workflows
• Enterprise security and compliance
• Advanced Databricks administration