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QA Engineer

London
Posted about 9 hours ago
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18 hours ago Lead London, UK Hybrid Engineering Jobs by Hadean Supercomputing LTD

Hadean Supercomputing LTD

Hadean is a UK defense technology company developing AI-powered spatial computing, simulation, and command-and-control software. Its products support defense organizations and militaries with mission planning, wargaming, training, rehearsal, targeting, and air-defense decision-making.

Funding

  • Strategic Series A ($5M)
  • Series A ($30M)

Investors

  • Aster Capital
  • InQTel
  • 2050 Capital
  • Metrea Discovery
  • Ericsson Ventures

Projects

  • dominAI
  • populAI
  • optimAI

About Hadean Supercomputing LTD

Hadean develops defense-focused software combining artificial intelligence, large-scale simulation, spatial computing, and data integration. Its product suite includes populAI for realistic multi-domain simulation and training, dominAI for command-and-control and faster-than-real-time course-of-action analysis, and optimAI for secure, air-gapped AI, intelligence, and assessment workflows. Hadean serves defense organizations, militaries, national-security communities, and civilian infrastructure operators, with solutions spanning wargaming, mission rehearsal, LVC training, air defense, mission planning, targeting, resilience, and transport planning.

Skills

  • Acceptance Criteria
  • Agile
  • CI/CD
  • Defense
  • DevOps
  • Distributed Systems
  • Kubernetes
  • Leadership
  • LLM
  • Machine Learning
  • Node.Js
  • QA
  • Quality Assurance
  • React
  • Security Vetting
  • Test Automation
  • Test Cases
  • Test Planning
  • Typescript

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£35,000/yr

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About The Role

You will be the primary QA resource for the dominAI product team, embedding quality practices from story refinement through release. You will work with product managers and developers to define clear acceptance criteria and create comprehensive test plans. You will design, build, and maintain automated test suites for distributed systems, validate machine learning and LLM-based features, and manage test environments using Kubernetes. You will triage defects, improve QA processes and automation frameworks, and collaborate with other QA engineers to keep releases on track.

Requirements

  • Minimum of 5 years experience as a QA engineer/analyst
  • Strong emphasis on test planning and requirements analysis
  • Solid experience in test automation for complex, distributed systems
  • Demonstrable knowledge of testing front-end applications (React, TypeScript) and back-end services (Node.js)
  • Experience setting up and managing test environments with containerization and orchestration (Kubernetes)
  • Experience with QA for machine learning projects, including automated testing for LLM-based technology
  • Deep understanding of the software development lifecycle and agile methodologies
  • Good understanding of the role of quality in an LLM-assisted team
  • Must be able to obtain and maintain Security Vetted status to at least SC level

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Responsibilities

  • Champion and implement QA best practices within the dominAI product team
  • Collaborate with product managers and developers during story refinement to define clear acceptance criteria
  • Develop and execute comprehensive test plans and test cases
  • Design, develop, and maintain automated test suites for distributed systems
  • Contribute to testing machine learning and LLM-based technologies
  • Identify, triage, and resolve defects with the development team
  • Manage and maintain testing environments and infrastructure using Kubernetes
  • Drive continuous improvement of QA processes and automation frameworks
  • Collaborate with other QA engineers to build a cohesive QA function
  • Contribute to release planning and risk assessment

Benefits

  • Hybrid working with 1 day per week in the Shoreditch office
  • Private Health Insurance
  • Enhanced pension scheme
  • Enhanced parental leave
  • 3 extra days off at Christmas
  • L&D budget
  • Regularly scheduled socials
  • Share options
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Skills

Test Automation
Kubernetes
React
TypeScript
Node.js
Machine Learning
LLM
Distributed Systems
Agile
CI/CD
Test Planning
Acceptance Criteria
DevOps
Quality Assurance
Security Vetting
Test Cases

Location

London, England, United Kingdom

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