Platform Engineer, AI/ML Infrastructure

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.
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.
Platform Engineer, AI/ML Infrastructure
S - Remote OR Hybrid - Washington, DC, Denver, CO or Colorado Springs, CO.
Remote Opening:

S. security clearance.

Candidates may also be considered if they previously held a TS/SCI with CI polygraph or currently hold an active TS or Secret clearance.
Up to 15% travel is required.
remote position

: Candidates may work remotely from anywhere in the United States. S. security clearance.
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. The work spans the full depth of an AI platform. 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.
Much of this has to run where you cant assume normal cloud resources, or even an internet connection. Upstream work is part of the job, not something you do on weekends.
Build and operate Kubernetes-based infrastructure for demanding AI/ML workloads, including GPU scheduling, resource management, and multi-tenant isolation
Design and implement platform services for orchestration, data ingest, model serving, and results management behind documented APIs
Write infrastructure as code and build GitOps pipelines so environments are reproducible from source
Build and operate CI/CD pipelines that produce versioned, signed, scanned release artifacts along with the documentation needed to deploy them
Own reliability: capacity planning, upgrade paths, failure-mode analysis, backup and recovery, incident response, and postmortems
Implement monitoring, logging, tracing, and alerting, and define the service level objectives theyre measured against
Deploy and validate the platform in restricted, disconnected, or limited-connectivity environments, and verify parity after each release
Keep the platform portable by constraining dependencies to whats confirmed available in target environments
Contribute to Nebari and other open-source infrastructure, Kubernetes, and MLOps projects
S. security clearance
Four or more years of hands-on experience building or operating production infrastructure, platforms, or distributed systems
Experience with at least one major cloud platform: AWS, Azure, or Google Cloud
Working proficiency in Python, Go, Bash, or a comparable language
Experience implementing or operating production monitoring and observability
Ability to write documentation, runbooks, and deployment procedures that other people can actually follow
Ability to work independently and collaborate well in a remote, distributed team
Theyre the things that would help, not a checklist. S. security clearance, particularly TS/SCI with CI polygraph
Experience deploying or operating software in air-gapped, disconnected, or otherwise restricted environments
Experience with Department of Defense, Intelligence Community, or comparably regulated programs
Familiarity with the Risk Management Framework, NIST 800-53 or 800-171, or similar frameworks, and with producing the evidence they require
Supply chain security work: hardened images, artifact signing, SBOM generation, dependency and container scanning, policy enforcement
Familiarity with cross-domain solutions, guards, data diodes, or similar transfer mechanisms
Experience with classified cloud environments, including AWS Secret or Top Secret regions
Experience building MLOps pipelines or infrastructure for AI/ML workloads
Experience with GPU scheduling, distributed inference, or large-scale data and evaluation pipelines
Experience with model-serving or gateway frameworks such as KServe, vLLM, or LLM-D
Experience designing API-first services and vendor-agnostic platforms that run across multiple environments
Experience with agentic workflow frameworks or multi-step AI pipeline orchestration
Contributions to open-source Kubernetes, infrastructure, MLOps, or observability projects, and experience with Nebari specifically
Familiarity with data sovereignty and privacy requirements for enterprise or government AI systems
Experience leading technical initiatives, setting engineering standards, or mentoring other engineers
Here, you’ll work alongside pioneers of AI, solving problems that matter: making AI more transparent, more ethical, and more empowering. You’ll collaborate with global experts, contribute to open source projects that power the world’s technology, and stretch your skills daily. That global perspective and diversity makes our solution more universal and robust. We are committed to continuing to celebrate diversity on our team.
We offer 100% employer paid medical premiums for employees and self-managed PTO with a minimum time off requirement, so that our teams are able to do their best work.
Commitment to diversity, equity, inclusion, and belonging
OpenTeams understands that valuing diverse creative practices and forms of knowledge is crucial to and enriches the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, disabled people, persons of all sexual orientations, gender identities and expressions.
We are an equal opportunity employer - all qualified applicants will receive equal consideration for recruitment, interviews, employment, training, compensation, promotion, and related activities. We do not discriminate based on race, religion, gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.