Azure DevOps & GitHub Engineer/Architect

Avanade is looking for an Azure DevOps & GitHub Engineer/Architect at the Manager level. In this role, you will lead the design and implementation of modern DevOps solutions, cloud architectures, and software delivery platforms leveraging Azure DevOps, GitHub Enterprise, GitHub Copilot, and Microsoft Azure technologies. You will help clients define their AI-enabled engineering vision, translate business priorities into practical GitHub adoption roadmaps, and establish scalable, secure, and cost-conscious development and deployment ecosystems.

This role demands a blend of technical expertise, strategic thinking, leadership, and client coaching to guide teams through cloud, DevOps, platform engineering, and AI transformation journeys. You will advise leaders on responsible AI adoption, governance, usage measurement, cost management, and value realization while coaching engineering teams on GitHub Copilot best practices. You will remain hands-on in designing and optimizing CI/CD pipelines, GitHub Actions workflows, Azure DevOps services, source control strategies, infrastructure automation, and cloud environments.

• Define and lead Azure DevOps strategy aligned with enterprise and client objectives.
• Lead GitHub and engineering transformation strategies aligned with client and enterprise objectives.

Serve as a trusted advisor to business and technology leaders on GitHub-powered AI adoption, AI-enabled SDLC practices, DevSecOps, and software engineering modernization.

• Lead discovery sessions, assessments, workshops, and roadmap engagements with client stakeholders.
• Champion modern software engineering, DevOps, DevSecOps, and platform engineering practices across engagements.
• Design and implement GitHub Enterprise architectures, governance models, repository strategies, and operating frameworks.
• Architect and optimize GitHub Actions workflows, CI/CD platforms, and software delivery pipelines.
• Lead migration initiatives from Azure DevOps, Jenkins, Bitbucket, GitLab, and legacy toolchains to GitHub.
• Troubleshoot software delivery, deployment, source control, security, and infrastructure challenges across enterprise environments.
• Lead the adoption of AI-enabled software development practices across the software development lifecycle, leveraging GitHub Copilot and emerging AI engineering capabilities.

Advise clients on GitHub Copilot strategy, responsible AI governance, security, licensing, usage measurement, and cost management to improve adoption and business value.

• Establish adoption and value-realization frameworks that connect GitHub Copilot usage, license utilization, AI consumption, delivery outcomes, quality, and developer experience to measurable client goals.
• Guide clients in managing AI costs through fit-for-purpose model selection, efficient prompting and context patterns, usage guardrails, license optimization, and ongoing consumption reviews.

• Design and implement AI-assisted workflows for coding, testing, code review, documentation, troubleshooting, and developer productivity improvement.

• Develop reusable AI-enabled engineering accelerators, playbooks, and reference architectures that improve software quality, delivery speed, and engineering effectiveness.

• Partner with business, engineering, and technology leaders to identify, prioritize, and scale AI-driven transformation opportunities across the SDLC.

• Drive adoption of AI-enabled engineering practices utilizing GitHub Copilot and emerging software engineering capabilities.

Coach client leaders, engineers, architects, and developer champions on effective prompting, context management, human review, secure usage, and other GitHub Copilot best practices.

• Continuously improve reliability, security, governance, compliance, and operational effectiveness across software delivery platforms.