Sr Software Development Engineer (AI)

TL;DR

Sr Software Development Engineer (AI/DevOps): Designing and delivering highly scalable features for the Machine Learning Runtime platform with an accent on microservices, distributed systems, and infrastructure automation. Focus on implementing Kubernetes/Docker orchestrations and streamlining ML inference applications to enhance developer productivity.

Location: Must be based in the USA. Employees may be required to be on site at client locations in the DC, MD, and VA (DMV) area.

Salary: $163,800 - $245,800 USD

Company

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

What you will do

• Design and implement highly scalable features for the ML Runtime platform.
• Develop frameworks, automation, and tooling using Python, Kubernetes, and Docker.
• Manage distributed systems, including conception, design, programming, and testing.
• Deploy and orchestrate containers using Service Mesh and ArgoCD.
• Collaborate with Data Scientists and ML Engineers to drive technical solutions.
• Own features end-to-end, including infrastructure as code.

Requirements

• US Citizenship is required.
• Ability to obtain and maintain a U.S. government security clearance (TS/SCI w/CI Poly preferred).
• 3+ years of DevOps experience including infrastructure automation and CI/CD pipelines.
• Proficiency in Python programming.
• Experience with Kubernetes and Docker for scaling products.
• Strong system design skills and ability to write comprehensive technical documentation.

Nice to have

• DoD 8570/8140 compliance with IAT Level II certification.
• Background in Machine Learning.
• Experience with RESTful services, microservices, and distributed systems.
• Experience with monitoring tools like Grafana.
• Proficiency in Terraform, Git, and Jenkins.

Culture & Benefits

• Flex Work policy: spend at least 50% of time per quarter in the office or in the field.
• Culture rooted in integrity, empathy, and shared enthusiasm.
• Support for long-term growth and professional development tools.
• Collaborative, mission-driven environment focusing on U.S. federal government modernization.