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$163,800 – $245,800
Listed on Workday’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves building scalable machine learning infrastructure and deployment systems for a federal-focused cloud platform. You'll work with containerization and orchestration technologies to support data scientists and ML engineers in production environments serving U.S. government agencies.
Our summary, not Workday’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- ArgoCD
- CI/CD
- Docker
- Git
- Grafana
- Infrastructure as Code
- Jenkins
- Kubernetes
- Microservices
- Python
- Terraform
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What they ask for
Required
- US citizenship required
- 3+ years of DevOps experience with infrastructure automation and CI/CD pipelines
- System design and technical documentation skills
- Python proficiency
- Kubernetes and Docker experience for scaling ML applications
- Robust DevOps pipeline design and maintenance for ML runtime environments
Nice to have
- DoD 8570/8140 compliance with IAT Level II certification and current CE credential plus specialty cert (CySA+, GICSP, CASP+)
- Machine learning background
- Communication protocols and RESTful services experience
- Distributed systems and microservices architecture experience
- Comprehensive monitoring service building
- Enterprise SaaS product experience
- Grafana monitoring expertise
- Documentation and runbook maintenance focus
- On-call support availability
- Terraform, Git, Jenkins, and ArgoCD proficiency
- BS/MS in Computer Science or related field
- Team leadership or mentoring experience