About The Role

Build and own the internal developer platform as a product, so researchers and engineers can provision what they need and start work quickly.
Design and build the services behind data analysis pipelines, the data warehouse, dashboards, research code environments, and the web apps that expose HPC simulation to non-specialists.
Extend Open OnDemand and related portals, and build what's missing where off-the-shelf tools fall short.
Own AI developer tooling, its budget, and provisioning workflows.
Set and maintain standards that give engineers autonomy while keeping the platform coherent and governable.

Architect and write platform services, control planes, APIs, and data-pipeline frameworks.
Build reusable components and set software standards that match the needs of active R&D projects.
Translate requirements from Physics, Engineering, and Controls teams into systems that scale and stay maintainable.
Treat reliability, observability, and cost as design requirements.

Provide the platform layer over HPC clusters, job scheduling, and distributed filesystems so researchers can run simulation and analysis themselves.
Build and maintain secure cloud infrastructure (AWS/GCP/Azure), managed as infrastructure-as-code.
Build observability, alerting, and incident-response systems across on-prem and cloud resources.
Manage cloud costs proactively through architecture choices, reserved capacity, and observability.
Lead migrations, upgrades, and modernization with minimal disruption to active experiments.

Write clear documentation, runbooks, and operational procedures so others can operate and extend the platform.
Mentor junior platform engineers and the cross-functional engineers who build on the platform.
Set technical direction for infrastructure as code, observability, and system resilience.

Education: Bachelor's degree in Computer Science, Engineering, Physics, Applied Mathematics, or related field; advanced degree preferred.
Experience: 7+ years of experience in platform, infrastructure, or software engineering, including building internal tools or platforms used by other engineers.
Strong software engineering fundamentals. Proficiency in Python, Rust, and/or C++.
Experience building internal platforms or tooling that measurably improved team productivity.
Hands-on experience with Linux and infrastructure automation (Ansible, Terraform, or equivalent).
Experience with cloud infrastructure (AWS/GCP/Azure). Familiarity with HPC clusters and job scheduling is a plus.
A track record of designing systems for reliability, observability, and scale.
Experience with containerization and orchestration (Kubernetes, Docker, or similar).
Experience mentoring engineers and leading cross-functional projects.
Clear communication, including explaining technical tradeoffs to non-technical colleagues.
Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee of granted asylum

Experience building data platforms, data warehouses, or analytics and dashboard infrastructure.
Prior experience in scientific computing or research environments.
Familiarity with Open OnDemand or similar research computing portals.
Experience with secure enclave architectures, identity management (OIDC, LDAP), or export-controlled data.
Domain background in manufacturing, experimental physics, or fusion energy. We don't require it — strong generalists ramp quickly here — but a head start is welcome.
Experience managing and optimizing cloud infrastructure.