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Performance Engineer at Causal

Job in Greater London, London, Greater London, EC1A, England, UK
Listing for: Jack & Jill/External ATS
Full Time position
Listed on 2026-01-13
Job specializations:
  • Engineering
    Software Engineer
Job Description & How to Apply Below
Location: Greater London

Performance Engineer

Company

Description:

Causal - VC-backed spreadsheet and modeling platform

Job Description: As a Performance Engineer at Causal, you will optimize the core calculation engine of a next-generation spreadsheet tool. You will tackle complex engineering challenges involving high-capacity data pipelines and graph algorithms to ensure lightning-fast performance. This role is pivotal in scaling Causal’s infrastructure to handle increasingly sophisticated datasets for global enterprise customers.

Location: Remote, UK

Why this role is remarkable
  • Work on a unique, high-performance calculation engine that pushes the boundaries of traditional spreadsheet computation and data modeling.
  • Join a fast-growing, remote-first startup culture that values technical excellence and has raised significant capital from top-tier investors.
  • Directly influence the technical roadmap of a product that helps businesses make critical, data-driven decisions through advanced number-crunching tools.
What you will do
  • Optimize and scale the calculation engine’s capacity and throughput using Go, Type Script, and Postgres to handle complex, real-time datasets.
  • Transform functional requirements into high-performance, maintainable code while maintaining a robust suite of tests for mission-critical systems.
  • Establish engineering processes and technical standards that ensure the long-term scalability and reliability of the Causal platform as the user base grows.
The ideal candidate
  • Has 5+ years of software engineering experience with a deep understanding of backend technologies including Go, Node.js, and Redis.
  • Possesses strong expertise in algorithms and data structures, specifically graph algorithms, to solve intricate computation and scaling challenges.
  • Proven track record in a Series A to C startup environment with the ability to take features from initial concept to production independently.
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