Workday

Workday

Mid / Senior Software Development Engineer - ML Ops (US Federal)

USA.VA.Reston · Senior

No sponsorshipDetected 21 days ago
TypeScriptPythonDistributed SystemsGitAWSGCPCloud PlatformsDockerKubernetesTerraformCI/CDJenkinsGrafanaDevOpsMachine LearningMLOpsCybersecurityHRISTest AutomationResearchLeadershipCollaborationMentoringArgo CD

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 66 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 99%

Of 78 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 497 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

49 transfer filings in the last year, covering 49 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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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.
  • Experience building monitoring, metrics, and alerting systems using telemetry stacks such as Grafana or Prometheus.
  • Solid understanding of Object-Oriented Design (OOD), distributed systems, and SaaS microservice architectures.

Requirements

  • Tooling & Infrastructure: Experience with Infrastructure as Code (e.g., Terraform), Git workflows, and GitOps/CD engines (e.g., ArgoCD, Jenkins).
  • 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).
  • Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision-making to any degree.
  • Experience with Infrastructure as Code (e.g., Terraform), Git workflows, and GitOps/CD engines (e.g., ArgoCD, Jenkins).

Nice to have

  • 7+ years of professional experience in DevOps engineering, infrastructure automation, and CI/CD pipeline development.
  • 7+ years of experience with Python programming and container orchestration platforms (e.g., Docker, Kubernetes).
  • Bachelor's degree in Computer Science, STEM field, or equivalent practical experience.
  • 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.

Skills

  • Your work days are brighter here.

Compensation

  • $163,800 USD - $245,800 USD
  • $148,200 USD - $264,000 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.
  • Hands-on experience deploying, monitoring, and scaling Machine Learning runtime environments or pipelines alongside ML teams.
  • 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 a reasonable accommodation, you may email accommodations@workday.com, as far in advance as possible.
  • Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Visa & Work Authorization

  • This role may require a security clearance at the TS/SCI w/CI Poly level
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This listing is sourced directly from Workday's careers page and normalized into a canonical job model.