Distributed Systems ML Infrastructure Engineer

Description: Build core services for a containerized, API-first AI platform. Design and implement services for workflow orchestration, data ingestion, and results management. Ensure portability and operability across various deployment environments. Requirements: U.S. citizenship and eligibility for a U.S. security clearance. 6+ years of experience in distributed systems or related software engineering roles. Production experience with Kubernetes and cloud platforms. Proficiency in Python, Go, or similar programming languages. Experience with infrastructure-as-code tools like Terraform or Helm. Bachelor's degree in computer science, engineering, or related field. Benefits: 100% paid medical, dental, and vision for employees; 75% for dependents. 401(k) match up to 5% with full vesting after 2 years. Unlimited PTO with a minimum of 15 days off annually. Up to $3,000 equipment reimbursement for remote setup. Continuous education reimbursement up to $500.