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Jobs(26,675)/Platform Engineer Role(382)/OpenTeams (1) - Platform Engineer, AI/ML Infrastructure
OpenTeams

OpenTeams - Platform Engineer, AI/ML Infrastructure

United States - Remote OR Hybrid - Hybrid$120k - $250k3w ago
In OfficeNACloud ComputingArtificial IntelligencePlatform EngineerGoDocumentationKubernetesAzureTerraform

Requirements

• U.S. citizenship, and the ability to obtain and maintain a U.S. security clearance • Four or more years of hands-on experience building or operating production infrastructure, platforms, or distributed systems • Production experience with Kubernetes and containerized workloads • Experience with at least one major cloud platform: AWS, Azure, or Google Cloud • Experience with infrastructure as code and CI/CD, using tools such as Terraform, OpenTofu, Pulumi, or Helm • 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 • You will not have all of these, and very few people will. They're the things that would help, not a checklist. If the required list above describes you, apply. • An active U.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 • Experience supporting an Authorization to Operate, or with continuous ATO models • 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 • A DoD 8140/8570 qualifying certification such as Security+, CISSP, CASP+, or CISM, or willingness to obtain one after joining • 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 • Experience supporting rapid prototyping programs or defense innovation initiatives • Grow With Us • Grow With Us • At OpenTeams, growth isn’t just about the company—it’s about you.We believe the best careers are built at the edge of your potential. That is where new tools, ideas, and technologies change the world. Here, you’ll work alongside pioneers of AI, solving problems that matter: making AI more transparent, more ethical, and more empowering. As your skills grow, our career framework provides a pathway and recognition of that increased impact. • Opportunities aren’t limited by geography. 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. • Supported people are successful people.  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.We invest  in curiosity, creativity, and ownership. That means you’ll be trusted to boldly innovate, supported to learn fast, and celebrated for successful collaboration. • 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.

Responsibilities

• 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 they're 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 what's confirmed available in target environments • Write runbooks and operational documentation that other engineers can execute without you in the room • Contribute to Nebari and other open-source infrastructure, Kubernetes, and MLOps projects • Work with security engineers, government stakeholders, and other engineers to turn requirements into systems that hold up • Collaborate asynchronously across a distributed team

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