Distributed Systems ML Infrastructure Engineer

Distributed Systems ML Infrastructure EngineerWashington, DC Metro; Denver, CO Metro; or Colorado Springs, COWho We AreEvery 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.Distributed Systems ML Infrastructure EngineerLocation: Washington, DC; Denver, CO; or Colorado Springs, CO preferred (hybrid). Highly qualified candidates outside these locations may also be considered for unclassified work.Work Authorization: U.S. citizenship requiredClearance: An active TS/SCI clearance with CI polygraph is strongly preferred. Candidates without an active clearance may be considered for unclassified work but must be eligible to obtain and maintain a U.S. security clearance.Salary Range: $145,000–$250,000 USD, dependent on experience level and locationAbout the RoleWe're looking for a Distributed Systems and ML Infrastructure Engineer to build the core services of a containerized, API-first AI platform. This is a role for someone who wants to build the thing itself, not integrate someone else's.You design and implement the services the platform runs on — workflow orchestration, data ingestion, results management, model serving, policy enforcement, usage accounting, audit logging. Those services have to hold up across cloud, dedicated, isolated, and limited-connectivity deployments, which means portability and operability are design constraints from the first commit rather than problems handed to someone downstream.Development happens primarily on unrestricted infrastructure with an open-source toolchain. Engineers with the right access also carry releases into controlled production environments, integrate data sources there, and validate the platform in place — so there's a path to seeing your work through to where it actually runs.This position is 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.Key ResponsibilitiesDesign and implement platform services for workflow orchestration, data ingest, and results management, exposed through documented APIs with no proprietary front endImplement and operate model gateway and serving services that route invocations to approved managed model services with policy enforcement, usage accounting, and audit loggingMaintain a documented provider abstraction so the platform runs on AWS-native managed services where appropriate while remaining deployable across other cloud and dedicated environmentsDeploy platform releases into classified host environments, perform data source integration, and execute validation procedures on a recurring promotion cadenceVerify environment parity after each promotionSize and validate the platform against documented workload models, and verify capacity and performance by load testConstrain platform dependencies to services confirmed available in the target environments, and gate any development-only dependency behind feature flagsReproduce high-side defects on the low side through sanitized feedback paths and fix them where the full toolchain is availableRequired Skills & ExperienceU.S. citizenship and eligibility to obtain and maintain a U.S. security clearance6+ years of experience in distributed systems, platform engineering, infrastructure engineering, or a related software engineering roleProduction experience operating Kubernetes and containerized workloads on a major cloud platformExperience with managed Kubernetes services such as Amazon EKS or an equivalent platformExperience supporting machine learning workloads in production, such as model serving, GPU scheduling, or large-scale data and evaluation pipelinesExperience designing, building, or operating distributed services that support reliability, scalability, and performance requirementsProficiency in Python, Go, or a comparable programming languageExperience with infrastructure-as-code and deployment tools such as Terraform, Helm, or equivalent technologiesExperience designing API-first services and implementing documented interface specificationsExperience testing platform capacity and performance against expected workload requirementsAbility to document technical interfaces, deployment procedures, architectural decisions, and validation resultsBachelor's degree in computer science, engineering, or a related field, or equivalent practical experienceNice to HaveActive TS/SCI clearance with CI polygraphHands-on experience deploying or operating software in classified, air-gapped, or limited-connectivity environmentsExperience with classified cloud environments, including AWS Secret or Top Secret regionsExperience building or operating model gateways, LLM routing layers, inference services, or inference-brokering platformsFamiliarity with software promotion into classified environments, cross-domain transfer processes, and release packagingExperience with agentic workflow frameworks or the orchestration of multi-step AI pipelinesExperience supporting GPU-accelerated workloads and distributed model inferenceExperience designing vendor-agnostic platforms that operate across multiple cloud or dedicated environmentsExperience supporting rapid prototyping programs or defense innovation initiativesWhat We OfferMedical, Dental & Vision – 100% paid for employees, 75% for dependents401(k) Match – Up to 5% with full vesting after 2 yearsUnlimited PTO – With a required minimum of 15 days off annuallyFully Remote Setup – Includes up to $3,000 equipment reimbursementContinuous Education – Includes up to $500 reimbursementDisability & Life Insurance – 100% employer-paidHSA & FSA Options – With monthly HSA contributions from OpenTeamsGrow With UsAt 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 to Diversity, Equity, Inclusion, and BelongingOpenTeams 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. OpenTeams will not tolerate discrimination or harassment based on these characteristics or any other unlawful behavior