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Spyrosoft

QA manual (with AI knowledge)

Spyrosoft Show all offers
Białystok
Kraków
Wrocław
Warszawa
5 days ago

In short

Spyrosoft seeks a Manual QA Tester with 3+ years of experience in banking/FinTech for a project in the UK financial sector. Responsibilities include test execution, defect reporting, and leveraging AI tools for QA. Based in Białystok.

AI-written summary based on the listing content.

Requirements:

  • 3+ years of experience in Manual Testing
  • Experience in Banking, Financial Services, or FinTech
  • Strong knowledge of STLC and defect management
  • Experience creating test cases, test scenarios, and test reports
  • Knowledge of UK banking processes (payments, onboarding, accounts, loans, etc.)
  • Experience with Jira, Confluence, or Azure DevOps
  • Excellent English (B2+/C1)
  • Practical experience using AI tools such as Microsoft Copilot or ChatGPT in QA activities
  • Strong analytical mindset and stakeholder communication skills

Nice to have:

  • Experience building or configuring AI agents
  • Knowledge of AI governance and security
  • Understanding of UK financial regulations
  • Experience with large-scale enterprise systems

Project description:

Join a project delivered for the UK financial sector, where you'll work on business-critical applications used in highly regulated environments. We are looking for a Manual Tester who combines solid testing expertise with a modern, AI-driven approach to QA.

You'll have the opportunity to use Generative AI solutions and AI agents to improve testing processes, increase efficiency, and help shape the future of quality assurance within financial services.

Main responsibilities:

  • Prepare and execute test scenarios and test cases
  • Document test results and report defects
  • Validate business requirements and identify risks
  • Collaborate with Business Analysts, Developers, Product Owners, and Compliance teams
  • Support Agile delivery processes
  • Leverage AI tools to improve test design, analysis, reporting, and knowledge management
  • Identify opportunities for QA process improvements and AI adoption
Published 2026-10-29
Expires 2026-12-16
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