The Nuclear Company
Senior Platform Engineer
Washington, DC · Senior
Sponsorship not specifiedDetected 22 days ago
TypeScriptPythonJavaGoDatabricksAWSCI/CDPlatform EngineeringRESTMachine LearningData EngineeringAgentic AICommunication
About the role
- You will report to the Director of Platform Integrations and work in the Platform Integration & AI/Data squad.
- NOS is the software platform behind one of the largest nuclear buildouts in the United States, and the platform layer is what keeps it fast, reliable, and connected to the systems around it.
- You will work daily with data scientists, AI/ML engineers, product engineers, and nuclear domain experts.
Responsibilities
- Own platform and integration engineering. Build and maintain the application and data integrations that connect NOS to internal systems, partner APIs, and external data sources, and keep them reliable as the platform grows.
- Own CI/CD and release tooling. Build and run the pipelines that make NOS releases repeatable, tested, and traceable, and keep build and deployment times short.
- Build and maintain the unified front-end interface. Deliver the shared interface layer that product teams build on, and keep it consistent, accessible, and fast.
- Keep the platform performant and maintained. Monitor platform performance, fix bottlenecks, manage configuration baselines, and handle the maintenance that keeps NOS stable.
- Support data ontology and MCP design. Help structure NOS data and design the Model Context Protocol interfaces that let AI agents read and act on platform data safely.
- Partner across the squad. Work with data scientists, AI/ML engineers, and product engineers so the platform layer and the products built on it move together.
- 5+ years building and running production backend or platform systems.
- Hands-on experience building and owning CI/CD pipelines and integrations between systems (REST APIs, event streams, data pipelines).
Requirements
- Bachelor's or Master's in Computer Science, Software Engineering, or a related technical field, or equivalent production experience.
- Working knowledge of data modeling and how data flows between systems.
- Experience with Palantir Foundry, Databricks, or Snowflake.
- Familiarity with Model Context Protocol (MCP) or other patterns for connecting AI agents to data and tools.
- Required Experience
Nice to have
- Experience with at least one major cloud (AWS preferred) and with configuration management and infrastructure as code.
- Preferred Experience
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