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Luminance

AI-powered contract analytics and automation

Quality Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeCambridge, UKNo salary listedHybrid

About the Job

Requirements

  • A bachelor's or master's degree with a First or 2:1.
  • Scripting experience in one or more of Python, Bash, JavaScript, Ansible, or SQL.

Responsibilities

  • Ask investigative “What if ” questions to ensure the software behaves correctly in all circumstances, uncovering overlooked edge cases and user workflows.
  • Write tests to validate end-to-end product functionality using tools such as Cucumber, Cypress, and Playwright.
  • Understand software defects, assist in their resolution, and extend quality assurance systems to catch future recurrence.
  • Act as a link between Development and Product teams by understanding product specifications and expected behaviour and formalising them into testable units.
  • Lead the transition of engineering towards automation as standard.
  • Design and implement metrics to measure the quality of each release, including its performance on product systems.
  • Work alongside Product teams to expand product specification documents, especially after defects are resolved or where expected behaviour is frequently misunderstood.

Desired Qualifications

  • A technical subject for the bachelor's or master's degree.
  • Experience investigating causes of defects in software products.

About the Company

Luminance

AI-powered contract analytics and automation

Luminance offers a SaaS platform that handles contract and legal document management for law firms and corporate legal teams using a proprietary Legal-Grade AI built on a specialized legal LLM and a Mixture of Experts called the Panel of Judges. The platform analyzes documents to identify risks, extract key information, ensure compliance, and automate workstreams, with features such as AI-powered negotiation, an intelligent document repository, a legal-grade chatbot named Ask Lumi, and integration with tools like Microsoft Word. It differentiates itself by combining domain-specific AI with multiple specialized models instead of relying on a single general-purpose AI, enabling more accurate contract review and automation. Its goal is to streamline and accelerate legal work, reduce manual review, and improve accuracy across global corporate and law-firm customers.

Company size
201-500
Company stage
Series C
Total funding
$138M
Headquarters
Cambridge, United Kingdom
Founded
2015

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