Workday

Workday

Software Development Engineer - ML Ops (US Federal)

USA.VA.Reston

No sponsorshipDetected 6 days ago
TypeScriptPythonDistributed SystemsGitAWSGCPCloud PlatformsDockerKubernetesTerraformCI/CDJenkinsDevOpsRESTMachine LearningMLOpsCybersecurityHRISResearchCommunicationCollaborationProblem SolvingMentoringArgo CD

About the role

  • 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 Machine Learning features in production.
  • At Workday Government, we focus on outcomes that serve a larger mission.
  • As a Fortune 500 company and a proven enterprise cloud platform, Workday brings modern technology, responsible AI, and secure infrastructure to some of the most complex environments in the world.

Responsibilities

  • Developing frameworks, automation, and tooling to foster a culture of efficiency and innovation.
  • Developing products and services that empower developers to streamline their interactions with the ML platform.
  • Actively engage with Tech Leads and ML Engineers across teams to elaborate on requirements and drive technical solutions.
  • Own and develop features from end to end including infrastructure as code.
  • Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind
  • Availability for on-call support on a rotational basis.
  • 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).
  • Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

Requirements

  • US Citizenship is required.
  • Experience using technologies like Kubernetes/Docker to help developers scale their efforts in creating new and innovative products.
  • Experience with communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices.
  • Prior experience with enterprise SaaS products.
  • Experience with monitoring tools like Grafana.
  • Proficiency in infrastructure automation tools like Terraform, implementing CI/CD pipelines using Git and Jenkins, and applying continuous deployment tool such as ArgoCD
  • We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).
  • Machine learning background.
  • Building comprehensive monitoring services.
  • Passion for creating and maintaining documentation and fixing run books.
  • Availability for on-call support on a rotating basis.
  • BS/MS in Computer Science or a related technical field.
  • Excellent problem-solving skills with a focus on creating and maintaining accurate documentation.
  • Experience in leading or mentoring other team members and proven team collaboration experience, i.e. understanding group dynamics, effective communication strategies, conflict resolution techniques, and the ability to foster a positive and inclusive team.

Nice to have

  • This role may require a security clearance at the TS/SCI w/CI Poly level.
  • Applicants must have the ability to obtain and maintain a U.S. government issued security clearance.
  • An active TS/SCI w/CI Poly is preferred.
  • 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.

Skills

  • Your work days are brighter here.

Compensation

  • $137,000 USD - $205,400 USD
  • $123,900 USD - $222,000 USD
  • In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.

Benefits

  • Our Approach to Flexible Work
  • This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together.
  • Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Company info

  • Your work matters here.
  • Our work supports U.S. federal agencies as they modernize and transform the full employee lifecycle experience and finance operations-so they can operate with greater clarity, accountability, and trust.
  • The work isn't theoretical.
  • It's operational.
  • It's high-impact.
  • And it demands rigor, integrity, and long-term thinking.
  • From day one, you'll be part of a team that values collaboration, follow-through, and doing the right thing-especially when the stakes are high.
  • Our culture is grounded in integrity, respect, and shared responsibility.
  • We challenge each other to think clearly, act thoughtfully, and build solutions that stand up to real-world demands.
  • Here, curiosity is matched with accountability.
  • Ambition is paired with trust.
  • You'll have the space to do your best work, the support to keep growing, and the backing of a company committed to long-term investment in both its people and the federal mission.

Equal opportunity

  • Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.
  • If you require assistance or an accommodation at any point, please email accommodations@workday.com.

Visa & Work Authorization

  • This role may require a security clearance at the TS/SCI w/CI Poly level

This listing is sourced directly from Workday's careers page and normalized into a canonical job model.