Staff Platform Engineer
Core
Build robust, containerized backend services and APIs to serve data from heterogeneous multicloud sources for AI agents, applications, and internal teams.
Role type
Staff Platform Engineer (Data Infrastructure & AI Tooling)
Builds
Production-grade data services, APIs, and infrastructure enabling agent-first operations and machine access to data.
Domain
Clean energy / AI-native data infrastructure / Multicloud
Deliverable
production ML models | product features | infrastructure
Required skills
Python, JavaScript/TypeScript, SQL, containerized microservices, multicloud infrastructure, data integration, fine-grained authorization, CI/CD, observability, machine learning principles
Preferred skills
data catalogs, metadata platforms, AI-agent interfaces (MCP), GraphQL, Redis, Kubernetes, secrets management, third-party dataset sourcing
Technologies
FastAPI, Pydantic, NestJS, Fastify, Zod, Snowflake, dbt, Airflow, DuckDB, Iceberg, ReBAC, ABAC, MCP, D3
Responsibilities
Build and operate robust, containerized backend services and APIs; integrate heterogeneous multicloud data sources; build governed access to data with authentication and authorization; design for machines first to expose data to AI agents; maintain metadata, cataloging, and lineage; own services in production regarding CI/CD and reliability; act as a technical partner for internal teams on integrations; support ML and AI workflows by making features discoverable and servable
Seniority
Staff, hands-on IC with strategic impact