Senior DevOps & AI Engineer

About Innovas:

At Innovas, we are transforming the way government innovates by delivering the mechanisms that turn ideas into action. We bring together the right people, processes, and technologies to accelerate progress where it matters most.

With a focus on impact over bureaucracy, collaboration over silos, and solutions over status quo, we we’re built to act. Our team is made up of passionate problem-solvers, innovators, and experts who thrive on tackling meaningful challenges and delivering results. At Innovas, every role contributes to something bigger. Whether you’re supporting technology acquisition, improving processes, or enabling collaboration across organizations, your work helps move critical missions forward.

Join Innovas and help shape the future of government innovation.

Why work at Innovas:

Work on problems that matter.
At Innovas, your work directly supports innovation that shapes our nation’s future and delivers solutions with real-world impact.

Be part of something built differently.
Our teams are empowered to focus on solving problems, creating value, and exceeding expectations.

Bring ideas to life.
Work alongside passionate problem-solvers who thrive on tackling complex challenges and turning possibilities into progress.

Grow alongside a team of experts.
Our people bring diverse experiences from government, military, industry, technology, and entrepreneurship.

Job Description:

Reporting to the Senior Director of Engineering & Architecture, this senior individual contributor turns engineering priorities into working tools and automated workflows that help the team deliver customer-facing products. The role focuses approximately 40% on development infrastructure and DevOps, 40% on AI agents and orchestration, 10% on integrations and reporting, and 10% on stakeholder engagement and Scrum facilitation. The initial priorities are to establish the new DevOps environment and implement multi-agent workflows that execute approved backlog items and submit code through pull requests for human review. The role requires deep experience in automation, the software development lifecycle, CI/CD, and AI agent orchestration. Responsibilities include selecting and customizing established tools where practical, deploying cloud and local inference capabilities, and partnering with engineers and business stakeholders to improve delivery. Substantial application development experience is preferred; the core requirement is demonstrated ability to build and operate effective engineering automation.

Essential Duties and Responsibilities

Development Infrastructure and DevOps

• Design and implement the development and DevOps platform from scratch, initially using Azure DevOps Server, within the architecture and priorities established with the Senior Director.
• Own source control, repository standards, build runners, artifact and package repositories, development tooling, and the integrations connecting the engineering toolchain.
• Build CI/CD pipelines covering automated testing, quality and security checks, versioned artifacts, deployment approvals, release automation, and rollback.
• Provision repeatable development, test, staging, and production environments using infrastructure as code and configuration automation across cloud, on-premises, and hybrid deployments.
• Support Windows, Linux, and containerized workloads; automate engineer onboarding and environment setup, and coordinate platform access, workload identities, and secrets with IT Services.
• Document platform architecture, operating procedures, and recovery steps; improve reliability and remove recurring manual work and delivery bottlenecks.

AI Agents and Workflow Orchestration

• Evaluate, select, integrate, and customize established AI agent tools and orchestration frameworks. Develop extensions and connectors where needed to support Innovas workflows.
• Implement workflows that read from a curated, prioritized backlog, gather requirements and repository context, decompose work, assign tasks to agents, coordinate dependencies, and track execution.
• Configure and develop agents for software development, testing, documentation, infrastructure automation, integrations, and approved business process automation.
• Connect agents to development tools, approved data sources, and execution environments; manage task state, isolated workspaces, retries, failure handling, and traceability to backlog items.
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