Description

Build and maintain Azure cloud infrastructure, data platforms, and automated deployment pipelines to support enterprise-scale analytics and operations.

This role is hybrid.

Responsibilities

• Build, deploy, and configure Azure infrastructure including Data Factory, storage, key vaults, virtual networking, and VMs.
• Automate infrastructure deployment using Infrastructure as Code (Bicep/Terraform) and CI/CD pipelines via Azure DevOps.
• Implement, monitor, and maintain cloud-based Data & Analytics platforms such as Databricks and Snowflake.
• Design and implement solutions leveraging serverless computing, containers, and data lakes.
• Troubleshoot performance, connectivity, and security issues while executing cost-saving strategies.

Required Skills

• 5-7+ years of Cloud Platform Engineering experience in an enterprise environment.
• Advanced proficiency with Python, SQL, GitHub, Azure DevOps, Bicep/Terraform, and PowerShell.
• Deep hands-on experience with Infrastructure-as-Code and configuration management automation tools.
• 5+ years of DevOps experience within Agile/Scrum settings.
• Proven track record leading end-to-end design and development of scalable enterprise services.
• Experience with SRE principles, continuous integration, and automated testing.
• Strong problem-solving and analytical thinking with a security-first mindset.

Preferred Skills

• Bachelor's in Computer Science or equivalent area.
• Experience with Azure cost management and forecasting.
• Azure Administrator, Solution Architect, Databricks Platform Administrator, or Snowflake SnowPro certifications.

Key Skills

Education

Any Graduate