Azure AI DevOps Engineer

University of Washington Medical Center; Seattle (WA); On-site; USD 88,000 - 142,000; Full time

Job summary

University of Washington seeks an AI DevOps Engineer to lead cloud engineering for AI platforms. You will design IaC, build CI/CD pipelines, and automate deployment across Azure services, ensuring secure, scalable AI solutions.

Responsibilities include collaboration with AI researchers, implementing IAM and monitoring, and optimizing costs while maintaining governance and compliance. Minimum 3+ years in DevOps or SRE in cloud environments is required.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field, or equivalent experience.
• 3+ years in DevOps/SRE or cloud software engineering focusing on cloud platforms.
• Hands-on experience with Microsoft Azure cloud services and governance models.
• Experience with CI/CD pipelines (Azure DevOps, GitHub Actions) and IaC tools.

Responsibilities

• Design, develop, and maintain IaC solutions (Terraform, Bicep, ARM) to provision Azure resources for AI platforms.
• Build and maintain CI/CD pipelines to automate build, test, and deployment of AI applications.
• Develop automation scripts (Python, PowerShell, Bash) for operations, monitoring, and incident response.
• Collaborate with AI researchers and data engineers to containerize applications (Docker, Kubernetes/AKS).
• Contribute to API integrations and middleware connecting AI services with university IT systems.
• Participate in code reviews and design discussions to uphold engineering standards.

Skills

Azure

CI/CD pipelines

IaC

Docker & Kubernetes

Scripting (Python, PowerShell)

QA / Release management

Security & compliance

Azure AD / IAM

Monitoring & observability

Education

Bachelor’s degree in Computer Science / IT / Software Engineering

Tools

Terraform

Bicep

ARM templates

Azure DevOps

GitHub Actions

Python

PowerShell

Bash

Docker

Kubernetes

Job description

University of Washington seeks an AI DevOps Engineer to lead cloud engineering for AI platforms. You will design IaC, build CI/CD pipelines, and automate deployment across Azure services, ensuring secure, scalable AI solutions.

Responsibilities include collaboration with AI researchers, implementing IAM and monitoring, and optimizing costs while maintaining governance and compliance. Minimum 3+ years in DevOps or SRE in cloud environments is required.