Engineering Systems Engineer - Azure DevOps Administration & Governance

🏢 Origami Risk · all 6 jobs
📍 United States
💰 USD 100,000 - 122,000 / annual
📅 Posted Sep 19, 2026 · via Himalayas
🏷 DevOps Administration, Platform Engineering, DevOps Engineer, Engineering Systems, Technical Operations, Azure DevOps Engineer +4 more
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Overview

The Engineering Systems Engineer, Azure DevOps is the hands-on technical owner of Azure DevOps across the Engineering organization — the project and organization structure, boards, work item process, and access model that every engineer depends on every day, including the integration points that connect Azure DevOps to our GitHub-hosted repos (our source code lives in GitHub, not Azure Repos). Pipeline authoring and CI/CD ownership sit with the engineering teams that build them; this role owns everything else about how Azure DevOps is organized, governed, and accessed. This individual contributor owns Azure DevOps administration, governance, and continuous improvement end-to-end, and is the organization's go-to expert when Azure DevOps issues need to be diagnosed and resolved with authority.

This engineer is a proactive platform operator who identifies configuration drift and fragmented workflows before they become embedded patterns, closes governance gaps before they accumulate into technical debt, and automates manual administration work before it creates toil. When a team asks for a workaround, this person diagnoses the actual problem behind the request rather than bolting on a quick fix that adds to the fragmentation.

Beyond Azure DevOps, this role also supports the broader Engineering Systems platform portfolio — including LaunchDarkly feature flag operations, Flyway database migration standards, AI-assisted development tools like Cursor and Claude Code, and other tools the team takes on as needed — working alongside teammates who own those platforms and building the working knowledge needed to contribute to cross-platform initiatives. Azure DevOps ownership is the primary responsibility in this role; the rest of the portfolio is secondary and grows with tenure, and the specific list of “other tools” is expected to change over time.

This engineer leverages AI throughout their own workflow — using it to accelerate Azure DevOps platform analysis, generate automation scripts, produce enablement documentation, and surface insights from platform data that would take hours to find manually.

Starting base pay for this role is between $100,000 and $122,000. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a flexible time off policy in most states).
Responsibilities

- Builds and maintains internal enablement resources — ADO configuration guides, workflow standards references, governance how-tos, and onboarding materials — that empower Engineering teams to work within established standards correctly and independently, reducing the volume of repetitive support requests.

- Maintains accurate, current platform configuration documentation and standards repositories — ensuring governance requirements, workflow patterns, and access policies are clearly documented and accessible to the Engineering organization.

- Coordinates the onboarding standards experience for new Engineers — maintaining environment setup guides, tooling provisioning checklists, and standards orientation materials that are current, complete, and effective enough to be executed without handholding.

- Tracks platform health, adoption metrics, support request trends, and standards compliance across administered systems — maintaining the operational data the Engineering Systems Manager needs to report accurately to the Director of Engineering Systems and to make informed investment decisions.

Qualifications
- Bachelor's Degree in Computer Science, Information Systems, Business Analysis, or a related field

Engineering Systems Engineer, Azure DevOps — Requ

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