Senior Full-Stack Engineer for AI Data Platform

CoreWeave

Bellevue (WA)

On-site

USD 150,000 - 230,000

Full time

5 days ago
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Job summary

CoreWeave is building the data infrastructure powering AI workloads at scale. You will develop full-stack applications in UNION, owning production from UI to data model, with a stack of TypeScript/React, Next.js, Python services on Kubernetes, and Postgres alongside the lakehouse.

The role blends backend services with modern frontend work and AI-focused features in a fast-paced environment. You will collaborate across engineering, finance, supply chain, and data center operations to ship

Qualifications

  • 5+ years building and operating production software across backend and frontend.
  • Strong Python and TypeScript, with React/Next.js experience.
  • Experience designing and running HTTP APIs with reliability.
  • Strong SQL and relational data modeling.
  • Experience shipping LLM-backed features to production.
  • Hands-on with containers and deployment tooling (Docker, Helm, Kubernetes).
  • Experience wiring apps to data platforms and analytics DBs (Spark, Kafka, StarRocks, Snowflake).
  • CI/CD, observability, and on-call for owned software.
  • Experience collaborating with non-engineers to ship useful software.

Responsibilities

  • Build full-stack applications in UNION and own them in production.
  • Own the interface and data model from UI to storage.
  • Collaborate with data infrastructure, ops, and product teams.
  • Ship AI-facing features and evaluate their effectiveness.
  • Proactively define what to build by engaging with stakeholders.

Skills

Production software
Python
TypeScript
React
Next.js
SQL
API design
LLM features
Docker
Kubernetes
CI/CD
Data platforms

Tools

Docker
Helm
Kubernetes

Job description

CoreWeave is building the data infrastructure powering AI workloads at scale. You will develop full-stack applications in UNION, owning production from UI to data model, with a stack of TypeScript/React, Next.js, Python services on Kubernetes, and Postgres alongside the lakehouse.

The role blends backend services with modern frontend work and AI-focused features in a fast-paced environment. You will collaborate across engineering, finance, supply chain, and data center operations to ship

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