# Software Development Engineer - ML Ops (US Federal)

Hiring organization: [Workday](https://career.thegoodapps.co/organizations/workday)

Canonical page: https://career.thegoodapps.co/jobs/2765db7c-0f6c-4a9e-9417-5c270654e8eb

Listed on Workday's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Mid
- Location: Reston, VA
- Salary: 137000 – 205400 USD per year

## Summary

This role develops infrastructure and tooling for a machine learning platform that runs on federal government infrastructure, working with containerization, cloud services, and DevOps automation to support data scientists and engineers building ML features.

_Our summary, not Workday's wording._

## Skills named

Amazon Web Services (AWS), ArgoCD, Docker, Git, Grafana, Jenkins, Kubernetes, Python, Terraform

## Required

- US citizenship
- 3+ years of DevOps experience with infrastructure automation and CI/CD pipeline development
- Proficiency in Python
- System design and technical documentation capability
- Kubernetes and Docker experience
- Ability to obtain and maintain a TS/SCI w/CI Poly security clearance

## Nice to have

- Machine learning background
- Experience with communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices
- Comprehensive monitoring service development
- Enterprise SaaS product experience
- Grafana or similar monitoring tools
- Infrastructure automation tools like Terraform, CI/CD with Git and Jenkins, ArgoCD deployment tools
- BS/MS in Computer Science or related technical field
- Team leadership or mentoring experience

Apply on Workday's site: https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USAVAReston/Software-Development-Engineer---ML-Ops--US-Federal-_JR-0105400