Lead Data DevOps Engineer with Azure

Responsibilities

• Design, develop, and maintain Terraform-based Infrastructure as Code for Azure, ensuring environments are consistent, repeatable, and compliant
• Build, provision, and support application environments for Frontend and Backend Java teams using Azure Kubernetes Service (AKS) and Azure DevOps pipelines
• Administer and optimize Databricks workspaces and clusters; support DataOps processes around platform setup, configuration, governance, and cost control
• Identify gaps in current infrastructure, build, and release processes; propose and implement improvements to reliability, security, performance, and developer efficiency
• Develop automation tooling in Python to extend Azure DevOps capabilities (e.g. pipeline logic, governance automation, environment bootstrap, operational tasks)
• Work closely with Development Tech Leads and architects to align infrastructure design with application requirements and non-functional requirements (scalability, security, availability)
• Enforce automation and platform standards, including security hardening, least-privilege access, and auditability across environments
• Produce and maintain clear documentation (infrastructure design, IaC modules, runbooks) and implement unit tests / validation for automation code and Terraform modules

Languages