• Design, develop, and maintain automated tests (UI, E2E, functional, and integration) across multiple platforms and environments: Linux, Windows, macOS, Docker, and WSL. • Expand test coverage for new and existing functionality. • Monitor automated test execution results. • Debug and troubleshoot test failures, distinguishing product issues (regressions) from infrastructure-related issues (including test, framework, or environment). • Optimize test execution time and reliability. • Improve test automation stability and contribute to automation frameworks. • Report bugs in YouTrack and verify that they are properly fixed and backported. • Participate in release quality assessments. • Collaborate with QA and developers on testability and quality improvements. • Help define test strategies and quality gates for your team. • Support manual QA activities when needed. • Define and track quality metrics, including testing coverage, failure rate, and flakiness. • Identify gaps in test coverage and propose solutions. • Improve domain-specific test infrastructure and CI/CD pipelines within your team's scope. • Share knowledge about automation best practices with other team members. • Work with the tooling team to adopt new frameworks and practices.

• Design, develop, automate, and maintain end-to-end tests for our software products, including cross-functional workflows • Analyze, review, and document test results and work closely with developers to resolve identified issues • Identify gaps in existing test coverage and prioritize the development of additional test cases • Collaborate closely with developers, product managers, and designers to ensure tests align with business and product requirements • Promote and strengthen a culture of quality awareness within the team

• Define and execute end-to-end test strategy for NPSS real-time payments. • Prepare and execute test cases covering inbound/outbound transactions, positive/negative scenarios, exceptions, timeouts, rejections, and retries. • Validate complete transaction lifecycle: Channel → Core Banking → NPSS → Acknowledgement. • Test integrations between Core Banking (e.g., T24), NPSS connectivity (MQ/APIs), and digital channels. • Ensure ISO 20022 message compliance, data accuracy, and real-time performance. • Log, track, and resolve defects with internal and external stakeholders. • Ensure readiness for industry testing, certification, and production go-live. • Validate compliance with NPSS scheme rules and Central Bank regulations. • Support UAT, reporting, and stakeholder updates.

• Design and own the end-to-end automation framework for web, API, and AI-driven features • Build API automation suites for our core automation workflows and integrations (Postman/Newman/RestAssured) • Drive UI automation using Selenium, Playwright, or Cypress • Validate complex workflow automation chains (image ingestion → AI processing → asset delivery) • Ensure cross-browser compatibility for our design-heavy, canvas-based interfaces • Build performance testing suites to validate image/video processing throughput under load • Embed quality gates into our deployment pipelines (GitHub Actions/Jenkins) • Enable rapid, confident releases through automated testing at every stage • Develop testing strategies for AI-generated outputs (image crops, background removal, resolution enhancement) • Create validation frameworks for non-deterministic ML results—balancing precision with creative flexibility • Partner with Product to define acceptance criteria for AI-driven features • Work alongside Engineering to shift-left quality and build testability into system design • Experience using LLMs (ChatGPT, GitHub Copilot, Cursor, etc.) to generate and refactor automation scripts • Ability to review, validate, and harden AI-generated test code (not blindly accept output) • Experience building prompt templates for test case generation from user stories • Familiarity with AI-assisted test case generation and coverage analysis • Understanding of how to test AI-driven features (prompt testing, hallucination detection, cost optimizations, response validation) • Ability to design deterministic validation strategies for probabilistic AI outputs • Experience integrating automation into AI-heavy workflows (semantic search, generative features, etc.)