Job Description

We’ve partnered with a well-backed and ambitious early-stage startup that’s redefining how organizations store, manage, and analyze the world’s most complex data — from climate and genomics to financial time-series and video. This is an opportunity to join a small, high-caliber team building a new class of cloud-native data infrastructure from scratch.

This Will Offer You:

• The opportunity to tackle deep systems-level engineering challenges at scale
• In-person collaboration in a fast-paced, high-ownership startup environment
• Competitive compensation ($200–300k in the US / £120–150k in the UK), equity, and a 7+ year runway
• A direct hand in shaping a platform at the intersection of systems, storage, and machine-scale data
• Full visa sponsorship and relocation support to the UK or US

Responsibilities:

• Architect and build core components of a high-performance data platform
• Design storage engines, optimize file formats, and develop distributed system architecture
• Improve performance and reliability of query execution on structured and unstructured data
• Build robust backend services to support internal tools and customer-facing capabilities
• Contribute to launch-readiness by helping productionize features and polish workflows

You Will Need:

• 5+ years of experience building backend or systems-level software
• Strong programming skills in Rust , C , or C++
• Solid understanding of operating systems, file systems, and storage internals
• Experience working with modern data formats or infrastructure tools (e.g., Apache Arrow, Parquet, DuckDB, ClickHouse)
• A passion for infrastructure and performance problems
• Willingness and ability to work on-site 5 days/week in London or New York City

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