Platform Engineer

Who We Are

Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it.

OpenTeams exists to make ownership possible.

Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves.

If that sounds like your kind of work, we'd like to meet you.

Platform Engineer, AI/ML Infrastructure

Location:  U.S - Remote OR Hybrid - Washington, DC, Denver, CO or Colorado Springs, CO. 

Work Authorization: U.S. citizenship required

Clearance:  U.S.-Remote Opening: An active clearance is not required. Candidates must be eligible and willing to obtain and maintain a U.S. security clearance. Hybrid Opening: An active TS/SCI clearance is preferred. Candidates may also be considered if they previously held a TS/SCI with CI polygraph or currently hold an active TS or Secret clearance.

Salary Range: $120,000–$250,000 USD, dependent on experience level and location

Openings: Two positions are available:

• One hybrid position: Candidates must be located in or willing to work hybrid from Washington, DC; Denver, CO; or Colorado Springs, CO. An active TS/SCI clearance is required. Up to 15% travel is required.
• One U.S.-remote position: Candidates may work remotely from anywhere in the United States. An active clearance is not required, but candidates must be willing and able to undergo the process required to obtain and maintain a U.S. security clearance.

Candidates will be considered for the opening that best aligns with their location, clearance status, experience, and work preferences. Candidates who meet the requirements for multiple openings may be considered for more than one.

About the Role

OpenTeams builds AI platforms that governments and enterprises own outright: the infrastructure, the data, the models, and the evidence that the whole thing does what it claims. We're hiring several engineers to build and run that infrastructure.

The work spans the full depth of an AI platform. The Kubernetes clusters that schedule GPU workloads, move large datasets, and keep tenants isolated from one another. The services that make it a platform rather than a cluster: workflow orchestration, data ingest, model serving, policy enforcement, audit logging. The delivery path that gets released into production reliably and can prove what it shipped. The cloud infrastructure that ties it all together, and the operational practices that keep a distributed system resilient.