Software Engineer

CoreWeave; Livingston; On-site; GBP 45,000 - 75,000; Full time

Job summary

CoreWeave is hiring a software engineer in the United Kingdom to build production-grade features across the stack. You will write TypeScript with React, Python services on Kubernetes, and shape data models and queries underneath.

You’ll ship one scoped piece at a time, own tests, and perform post-release fixes as part of a collaborative team that values user feedback. You’ll gain exposure to AI-native features, such as prompting and tool calling, and you’ll work closely with end users to iterate

Qualifications

• 2+ years building production software or equivalent depth from projects or internships.
• Proficient in Python and JavaScript/TypeScript with modern web frameworks.
• Familiar with version control, code reviews, automated tests and CI/CD pipelines.
• Experience building or consuming HTTP APIs in production environments.
• Some exposure to AI/LLM features, prompting, tool calling, or agents.
• Experience with React or Next.js for web frontends and SQL for queries.
• Able to collaborate with product teams and hear user feedback directly.

Responsibilities

• Ship features in UNION and in applications teams across the stack.
• End-to-end ownership of scoped pieces from dev to production, including tests.
• Work alongside a senior engineer; interact with end users to iterate quickly.
• Contribute to AI-facing components, data models, and governance interfaces.

Skills

2+ years production software

Python/JavaScript/TypeScript

CI/CD & automated testing

HTTP APIs in production

AI/LLM development exposure

React/Next.js frontend

SQL in relational databases

Tools

Docker

Kubernetes

Helm

Spark

StarRocks

Snowflake

BigQuery

Job description

• You will ship features in UNION and in the applications teams run their processes on, working across the stack: TypeScript with React and Next.js in the browser, Python services running on Kubernetes, and the queries and data models underneath
• Some of it is AI-facing, like the natural language interfaces and agents people use to ask questions against governed data
• You will take one scoped piece at a time and carry it to production yourself, tests and post-release fixes included, working next to a senior engineer who owns the wider area. The people using it work here, so you will hear from them directly and see your work change how they work within a week or two

Qualifications

• 2+ years building production software, or equivalent depth from internships and substantial projects
• Working proficiency in a backend language, Python preferred, and in JavaScript or TypeScript
• Familiar with version control, code review, automated testing, and CI/CD
• Experience building or consuming HTTP APIs in something that ran in production
• Some exposure to AI and LLM development, such as prompting, retrieval, tool calling, or agents
• Experience building web frontends with a modern framework such as React or Next.js
• Working SQL, including writing and debugging joins and aggregations against a relational database

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk

• You want to understand the process you are building for, not just the ticket that describes it
• When you build an AI feature, you want a way to tell whether it is wrong before a user finds it
• You want the people using your software to be people you know by name, and you take it personally when it gets in their way
• You want a piece of the product that is yours to own end to end, from the first conversation with a user to the thing running in production
• You work well at speed. Priorities here move with the business, and the problems worth solving tend to arrive on short notice
• Exposure to data platforms and analytical databases such as Spark, StarRocks, Snowflake, or BigQuery
• Experience with containers and deployment tooling such as Docker, Helm, or Kubernetes
• Experience building AI-native features such as text-to-SQL interfaces, copilots, or insight generation
• Experience building internal tools that other people relied on day to day