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Manager, GitHub DevOps Engineer​/Architect

Job in Seattle, King County, Washington, 98127, USA
Listing for: 1026 Avanade Inc. Company
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Azure, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 155200 - 184300 USD Yearly USD 155200.00 184300.00 YEAR
Job Description & How to Apply Below

Azure Dev Ops & Git Hub Engineer/Architect Avanade is looking for an Azure Dev Ops & Git Hub Engineer/Architect at the Manager level. In this role, you will lead the design and implementation of modern Dev Ops solutions, cloud architectures, and software delivery platforms leveraging Azure Dev Ops, Git Hub Enterprise, Git Hub Copilot, and Microsoft Azure technologies. You will help clients define their AI-enabled engineering vision, translate business priorities into practical Git Hub 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, Dev Ops, 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 Git Hub Copilot best practices. You will remain hands‑on in designing and optimizing CI/CD pipelines, Git Hub Actions workflows, Azure Dev Ops services, source control strategies, infrastructure automation, and cloud environments.

Come Join Us There is one in every group—the person who dreams big and has the motivation to bring their ideas to life, even as others might roll their eyes and prefer to play it safe. Are you that person? Are you the one who isn’t afraid to break the mold and gets passionate about the power of digital to transform organizations and ways of working?

We are building teams of people like that to help our clients unlock the power they need now and own what is next. Together, we do what matters.

What You’ll Do

Define and lead Azure Dev Ops strategy aligned with enterprise and client objectives. Lead Git Hub and engineering transformation strategies aligned with client and enterprise objectives. Serve as a trusted advisor to business and technology leaders on Git Hub-powered AI adoption, AI-enabled SDLC practices, Dev Sec Ops , and software engineering modernization. Lead discovery sessions, assessments, workshops, and roadmap engagements with client stakeholders.

Champion modern software engineering, Dev Ops, Dev Sec Ops , and platform engineering practices across engagements. Design and implement Git Hub Enterprise architectures, governance models, repository strategies, and operating frameworks. Architect and optimize Git Hub Actions workflows, CI/CD platforms, and software delivery pipelines. Lead migration initiatives from Azure Dev Ops, Jenkins, Bitbucket, Git Lab, and legacy tool chains to Git Hub.

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 Git Hub Copilot and emerging AI engineering capabilities. Advise clients on Git Hub 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 Git Hub 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…

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