Software Development Engineer - ML Ops (US Federal)

TL;DR

Software Development Engineer - ML Ops (MLOps): Designing and implementing highly scalable features for the Machine Learning Runtime platform with an accent on microservices, container orchestration, and automation. Focus on building robust DevOps pipelines, enhancing developer scalability with Kubernetes and Docker, and managing distributed systems in public clouds.

Location: USA, Reston, VA. Work format is hybrid (Flex Work), requiring at least 50% of time in the office per quarter.

Salary: $137,000 – $205,400 USD

Company

A Fortune 500 company and leading AI platform for managing people, money, and agents.

What you will do

• Design and deliver scalable features for the ML Runtime platform using microservices.
• Develop frameworks, automation, and tooling to improve developer efficiency and innovation.
• Deploy and orchestrate containers using Kubernetes, Docker, Service Mesh, and ArgoCD.
• Manage infrastructure as code and capacity within public clouds such as AWS and GCP.
• Collaborate with Data Scientists and ML Engineers to translate requirements into technical solutions.
• Provide on-call support on a rotational basis.

Requirements

• Must be a United States citizen (naturalized or native).
• Ability to obtain and maintain a U.S. government security clearance (TS/SCI w/CI Poly preferred).
• 3+ years of DevOps experience in infrastructure automation and building CI/CD pipelines.
• Proficiency in Python programming.
• Experience using Kubernetes and Docker to scale machine learning runtime environments.
• Strong system design skills and the ability to write comprehensive technical documentation.

Nice to have

• Machine learning background.
• Experience with communication protocols, RESTful services, and microservices architecture.
• Proficiency in Terraform, Git, Jenkins, and ArgoCD.
• Experience with monitoring tools like Grafana.
• BS/MS in Computer Science or a related technical field.
• Experience leading or mentoring other team members.

Culture & Benefits

• Flex Work approach combining remote and in-person time.
• Culture rooted in integrity, empathy, and shared enthusiasm.
• Investment in long-term career growth and professional development.
• Comprehensive compensation package including bonus plans and annual refresh stock grants.