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System One

Azure DevOps Architect

System One, Richmond, Virginia, United States, 23214

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If interested reach out directly to kspicer@altaits.com or call/text 301-252-8762.

Fully REMOTE (ideally PA area).

Azure DevOps Architect to design, implement, and configure Azure DevOps (ADO) to support end-to-end traceability and CI/CD deployment pipelines. This role will focus on establishing best‑practice DevOps processes, tooling, and governance to support modern software delivery.

The ideal candidate has strong hands‑on experience with Azure DevOps Services, CI/CD pipeline design, and DevOps architecture, and can work closely with development, QA, and operations teams to enable reliable, traceable, and automated deployments.

Key Responsibilities

Design and implement Azure DevOps (ADO) architecture to support:

Work item management and traceability (requirements/code/build release)

Automated CI/CD pipelines

Configure and optimize:

Azure DevOps Repos, Pipelines, Boards, and Artifacts

Build and release pipelines for multiple environments (dev, test, prod)

Establish best practices for:

Branching and version control strategies

Pipeline standards and reusable templates

Environment promotion and deployment approvals

Enable and enforce traceability across the SDLC (e.g., linking requirements, user stories, commits, builds, and releases)

Integrate Azure DevOps with related tools and platforms (e.g., Azure, Git, testing tools, security scanning tools)

Collaborate with development, QA, security, and operations teams to support DevOps adoption

Provide technical guidance, documentation, and knowledge transfer to client teams

Troubleshoot and optimize existing CI/CD pipelines as needed

Required Qualifications

Strong hands‑on experience with Azure DevOps (ADO)

Proven experience designing and implementing CI/CD pipelines

Experience setting up traceability across requirements, code, builds, and releases

Solid understanding of DevOps principles and SDLC best practices

Experience with

Git-based source control

YAML pipelines

Automated build and deployment processes

Familiarity with Azure cloud services and deployment models

Ability to work independently and communicate technical concepts clearly to stakeholders

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Ref: #851-Rockville-S1

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