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Software Development Engineer MLOps US Federal

Job in Boulder, Boulder County, Colorado, 80301, USA
Listing for: HR Tech Job
Full Time position
Listed on 2026-05-31
Job specializations:
  • Software Development
    AI Engineer, Software Engineer, Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 130400 - 195600 USD Yearly USD 130400.00 195600.00 YEAR
Job Description & How to Apply Below

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other.

Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back.

In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

The Workday AI Platform Engineering team is seeking an energetic and determined Software Engineer to design, implement, and deliver highly scalable features for our AI platform. As a member of this fast paced group you will have a unique and rewarding opportunity to shape and contribute towards microservices that power Workday AI features in production. You will partner with Agent Developers, Data Scientists, and other Software Engineers to create the technology that brings these features to life.

About the Role

We are looking for Software Development Engineers to help build our Agent Platform: the infrastructure that enables teams to develop, deploy, and operate AI agents in production.

In this role, you will design and implement backend services, systems, and tooling that support the Software Development Life Cycle (SDLC) for AI applications. You’ll work on problems spanning distributed systems, orchestration, and developer experience, helping teams reliably build, test, and scale AI-powered workflows.

This is a great opportunity for an engineer who enjoys building production systems, solving complex technical problems, and working at the intersection of platform engineering and AI.

This role will support one or more direct or indirect contracts with the U.S. Federal Government which, due to federal government security requirements, mandates that all Workday personnel working on the contracts be United States citizens (naturalized or native).

About You

We need creative and dedicated Software Engineers, like you, who really want to move the needle. You should enjoy working on projects that can significantly improve developer satisfaction and save the company millions of dollars. By nature, you are inquisitive and ready to question the status quo. You have a passion for exploring and implementing innovative techniques and approaches to solve complex and challenging problems.

Most importantly of all you are a superlative collaborator and teammate and bring out the very best in everyone. You feel happiest when working with a highly capable and motivated team of people passionate about software and technology.

Key Responsibilities :

  • Build and maintain services and tooling that support agent deployment, testing, and lifecycle management within the CI/CD pipeline.

  • Develop systems for workflow coordination, state management, and tool integration in the context of development and operations.

  • Write high-quality, maintainable code in Python to power platform capabilities and APIs.

  • Deploy and operate services on Kubernetes, ensuring reliability and scalability.

  • Contribute to systems for observability, logging, tracing, and debugging of distributed workflows in development and production.

  • Improve system performance across latency, throughput, and fault tolerance.

  • Build internal tools and APIs that improve the developer experience for teams using the platform.

  • Collaborate with engineers, product managers, and AI teams to deliver production-ready solutions and…

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