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Spyro Soft is seeking a Manual Tester to join a UK-financial-sector project, delivering business-critical applications in highly regulated environments. You will apply solid testing expertise alongside an AI-driven QA approach to improve processes and efficiency.
You will use Generative AI solutions and AI agents to enhance test design, analysis, and knowledge management, shaping QA practices for financial services.
Manual Testing
Jira
Confluence
Azure DevOps
Agile/Scrum
Microsoft Copilot
ChatGPT
Azure AI
AI Agents
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
Experience building or configuring AI agents
Knowledge of AI governance and security
Understanding of UK financial regulations
Experience with large-scale enterprise systems
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.
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