26 days ago
Reston, VA, USAMid Level / Senior
H1B sponsor
Base Salary
$148k - $264k/yr
Responsibilities
- Develop frameworks, automation, and tooling that improve engineering efficiency and self-service operations.
- Design, implement, test, document, operate, and maintain distributed systems and software components for the ML Runtime platform.
- Build and maintain scalable ML Runtime inference applications and developer-facing products and services.
- Deploy and orchestrate production containers using Kubernetes, Docker, service mesh technologies, and ArgoCD.
- Work with public cloud infrastructure, capacity management, and infrastructure as code.
- Research, prototype, and drive adoption of ML tools with a focus on reliability and scale.
- Partner with tech leads, ML engineers, data scientists, and software engineers to define and deliver technical solutions.
- Own features end to end and participate in rotating on-call support.
Requirements
- P3 requires 5+ years of professional DevOps experience, including infrastructure automation and CI/CD pipeline development.
- P4 requires 7+ years of professional DevOps experience, including infrastructure automation and CI/CD pipeline development.
- P3 requires 5+ years of Python and containerization experience; P4 requires 7+ years.
- Bachelor’s degree in Computer Science, a STEM field, or equivalent practical experience.
- Hands-on experience deploying, monitoring, and scaling ML Runtime environments, platforms, or inference pipelines alongside ML teams.
- Experience with Terraform, Git workflows, and GitOps/CD engines such as ArgoCD or Jenkins.
- Experience building monitoring, metrics, and alerting systems using Grafana or Prometheus.
- Understanding of distributed systems, SaaS microservices, object-oriented design, and automated testing.
- Experience leading technical initiatives and mentoring team members is preferred for the P4 level.
- Must be a U.S. citizen and able to obtain and maintain a U.S. government security clearance; an active TS/SCI with CI Poly is preferred.
Benefits
- Flexible work arrangement requiring at least 50% of each quarter in the office or in the field, with possible client-site work in the DC, Maryland, and Virginia area.
- The role may be eligible for the Workday Bonus Plan or role-specific bonus and annual refresh stock grants.
- Workday provides comprehensive benefits and reasonable accommodations.
Tech Stack
Categories
About Workday
Workday builds cloud-based enterprise applications for human capital management and financial management, including payroll, time tracking, expenses, planning, and procurement, sold on a subscription basis with professional services. Founded in 2005 and headquartered in Pleasanton, California, it is a public company traded on NASDAQ as WDAY. Organizations worldwide use Workday to unify HR and finance data, automate processes, and apply AI to workforce and financial operations.