Sr Azure DevOps Engineer – AI & Data Focused
Listed on 2026-01-12
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IT/Tech
Cloud Computing, Data Engineer, Systems Engineer, IT Project Manager
Overview
Sr Azure Dev Ops Engineer – AI & Data Focused
Chicago, IL – hybrid WFH, 3 days onsite, 2 days WFH
We're seeking a Sr Azure Dev Ops Engineer, who will sit on the AI team, and focus on deploying data pipelines to strengthen our cloud platform engineering team. Given most of the team you'd be working with is not strong with Databricks, we're looking for someone who has experience deploying data pipelines with Databricks as the primary focus (65%). Specifically design, deploy, and optimize Azure Databricks work spaces, clusters, and jobs (including use of Databricks Asset Bundles).
The other 35% will be focused on traditional software Azure Dev Ops, using ARM templates currently for IaC, but we're considering using other IaC tools like Terraform.
You must be strong building CI/CD pipelines using Azure Dev Ops and Git Hub. And we're also looking for someone to be hands on scripting with Python, Power Shell, Bash.
Responsibilities- Design, deploy, and optimize Azure Databricks work spaces, clusters, and jobs using IaC and Databricks Asset Bundles.
- Architect and automate Azure environments with Infrastructure-as-Code (Bicep, ARM, Terraform).
- Own Git strategy and CI/CD pipelines (Azure Dev Ops, Git Hub): branching standards, PR automation, and release orchestration.
- Partner with data-engineering and platform teams to run fully isolated dev, staging, and production environments.
- Develop reusable, modular IaC templates for consistent, reliable deployments across all tiers.
- Embed automated testing and monitoring in every pipeline to ensure resilient, high-performance systems.
- Continuously identify opportunities to streamline deployments and boost reliability through automation.
- Champion Dev Ops culture: automated testing, shift-left security, trunk-based development, post-mortems.
- Audit and improve tooling, processes, and infrastructure management practices on an ongoing basis.
- 8+ years of experience with Dev Ops
- 3+ years of experience with Azure Dev Ops
- Strong experience with Databricks is a hard requirement
- Must have IaC experience, any tool is fine, but ARM templates are preferred
- Must be proficient scripting with Python, Power Shell and/or Bash
- Multi-cloud experience with AWS and/or GCP – even though Azure is the strong focus near term, we may be going multi-cloud
- Experience with Data Engineering, .NET Development or Python Development
- Experience deploying ML models
- Experience with Site Reliability and Cloud Monitoring
- Experience migrating to—or building—data platforms from the ground up
- Experience with Azure Security
- Experience working in an Agile delivery model
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