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OpenTeams

Distributed Systems ML Infrastructure Engineer

OpenTeams · Washington, DC Metro; Denver, CO Metro; or Colorado Springs, CO - Hybrid/Remote

Posted 14 days ago · $145,000–$250,000

or apply directly on OpenTeams's site. We never take the application ourselves.

Is this posting real?

This role has been open
14 days
OpenTeams's roles stay open a median of 14 days
Reposted
No
Salary listed
Yes
83% of OpenTeams's roles list one
Ghost-job risk at OpenTeams
moderate
2 stale, 1 reposted of 12 open
Hiring momentum
15 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from OpenTeams's own greenhouse board since 2026-08-03. Full hiring picture for OpenTeams.

About this role

The Distributed Systems ML Infrastructure Engineer will design and implement core services for a containerized, API-first AI platform, focusing on workflow orchestration, data ingestion, and results management. The role involves working on unrestricted infrastructure, deploying releases into controlled environments, and ensuring platform reliability and performance across various deployment scenarios. This position also requires collaboration on integration and validation of the platform in production settings.

Our read on this posting4.6out of 5
benefits
4/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of OpenTeams as an employer.

What you need

  • U.S. citizenship and eligibility to obtain and maintain a U.S. security clearance
  • 6+ years of experience in distributed systems, platform engineering, infrastructure engineering, or a related software engineering role
  • Production experience operating Kubernetes and containerized workloads on a major cloud platform
  • Experience with managed Kubernetes services such as Amazon EKS or an equivalent platform
  • Experience supporting machine learning workloads in production, such as model serving, GPU scheduling, or large-scale data and evaluation pipelines
  • Experience designing, building, or operating distributed services that support reliability, scalability, and performance requirements

Nice to have

  • Active TS/SCI clearance with CI polygraph
  • Hands-on experience deploying or operating software in classified, air-gapped, or limited-connectivity environments
  • Experience with classified cloud environments, including AWS Secret or Top Secret regions
  • Experience building or operating model gateways, LLM routing layers, inference services, or inference-brokering platforms
  • Familiarity with software promotion into classified environments, cross-domain transfer processes, and release packaging

What you get

  • Medical, Dental & Vision – 100% paid for employees, 75% for dependents
  • 401(k) Match – Up to 5% with full vesting after 2 years
  • Unlimited PTO – With a required minimum of 15 days off annually
  • Fully Remote Setup – Includes up to $3,000 equipment reimbursement
  • Continuous Education – Includes up to $500 reimbursement
  • Disability & Life Insurance – 100% employer-paid

Worth weighing

  • Position contingent upon contract award
  • Travel of up to 15% may be required, primarily to Government facilities and between company locations
  • Unclassified work may be performed remotely, while classified promotion and validation activities require onsite work in an accredited facility and the appropriate security clearance

Summarised from OpenTeams's posting. Read the full original.

Listed by OpenTeams on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

More roles at OpenTeams

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Apply to a Distributed Systems ML Infrastructure Engineer position at OpenTeams - Jobs near me at Washington, DC Metro; Denver and 2 more locations