Role Description - Lead the build-out and modernization of the QA strategy at Deutsche Bank - Design and scale automated test frameworks — from unit to end-to-end tests - Move teams away from manual Excel-based testing toward specialized tooling (Allure, Tricentis, Xray) - Drive adoption of Cucumber + Java/JS for behavior-driven testing - Act as technical lead: coach teams, set standards, secure management buy-in - Collaborate with Release Management, DevOps, and Product Qualifications - 7–10+ years of QA and test automation experience - Strong knowledge of Tricentis, Xray, or equivalent - Solid skills in Java or JavaScript + Cucumber (BDD) - Proven experience modernizing QA in larger organizations - Ability to drive change across teams - Professional English Requirements - Allure experience (preferred) - Other test frameworks (Python, Playwright etc.) - Banking or fintech background - German language skills a plus Benefits - Permanent employment at XALT with Tier-1 client engagement - Real ownership: you are building something that lasts - Remote-first (Germany / EU / UK) - Training budget + certification support - Flat hierarchies Company Description Atlassian Platinum Solution Partner, 100% DevSecOps, with projects in ITSM, Social Intranets, AWS, Cloud Infrastructure and IT-Consulting to make IT uncomplicated.

• Design AI-based systems that: • Explore UI, APIs, workflows, and edge cases without pre-defined scripts • Generate and execute tests dynamically from product behavior • Discover bugs through exploration, not just assertions • Move beyond static automation into self-directed testing systems • Build QA agents that: • Continuously test features as development agents build them • Provide structured, actionable feedback in real time • Loop with development agents until quality thresholds are met • Validate quality across: • Web UI • Backend services • APIs • Data integrity • End-to-end user journeys • Ensure the system works as a cohesive product, not just isolated components • Automatically identify: • Functional defects • Workflow breaks • Regression issues • Performance and reliability risks • Ensure issues are: • Reproducible • Verified • Clearly explainable to humans • Build systems that: • Run continuously • Adapt as the product evolves • Increase coverage automatically over time • Define what “release-ready” means • Block releases when quality is insufficient — with evidence • Raise risks early, clearly, and decisively • Daytime hours with 4–8 hours of overlap to US Pacific, with flexibility for critical releases or audits.

**What You Will Own (End-to-End) ** **1. Autonomous, AI-Driven QA ** Design AI-based systems that: • Explore UI, APIs, workflows, and edge cases without pre-defined scripts • Generate and execute tests dynamically from product behavior • Discover bugs through exploration, not just assertions • Move beyond static automation into self-directed testing systems **2. Agentic QA × Agentic Development Integration ** Build QA agents that: • Continuously test features as development agents build them • Provide structured, actionable feedback in real time • Loop with development agents until quality thresholds are met • Own the QA feedback loop as a first-class system, not a manual process **3. Full-Stack Quality Coverage ** Validate quality across: • Web UI • Backend services • APIs • Data integrity • End-to-end user journeys • Ensure the system works as a cohesive product, not just isolated components **4. Intelligent Defect Discovery & Verification** Automatically identify: • Functional defects • Workflow breaks • Regression issues • Performance and reliability risks • Ensure issues are: • Reproducible • Verified • Clearly explainable to humans **5. Continuous, Always-On QA ** • QA does not stop at “test execution” • Build systems that: • Run continuously • Adapt as the product evolves • Increase coverage automatically over time **6. Quality Ownership ** • Define what “release-ready” means • Block releases when quality is insufficient — with evidence • Raise risks early, clearly, and decisively

Role Description This is not a transitional or maintenance QA position. We are building agentic software development, and we need QA that operates at the same speed, intelligence, and autonomy as development. You will design and own an AI-driven QA system that: - Tests complex SaaS products end-to-end - Discovers bugs autonomously (without hand-written test cases) - Simulates how a new human QA engineer would deeply explore the product - Runs continuously (ideally 24×7) - Integrates directly into agentic development loops If your idea of QA is mostly writing Selenium scripts from requirements, this role is not for you. The Mission Build and operate an autonomous QA engine that: - Thinks like a human QA engineer - Acts like an AI system - Never sleeps - Never lets defects escape QA here is not a gate at the end — it is a real-time adversary to development agents until quality is proven. What You Will Own (End-to-End) - Autonomous, AI-Driven QA - Design AI-based systems that: - Explore UI, APIs, workflows, and edge cases without pre-defined scripts - Generate and execute tests dynamically from product behavior - Discover bugs through exploration, not just assertions - Move beyond static automation into self-directed testing systems - Agentic QA × Agentic Development Integration - Build QA agents that: - Continuously test features as development agents build them - Provide structured, actionable feedback in real time - Loop with development agents until quality thresholds are met - Own the QA feedback loop as a first-class system, not a manual process - Full-Stack Quality Coverage - Validate quality across: - Web UI - Backend services - APIs - Data integrity - End-to-end user journeys - Ensure the system works as a cohesive product, not just isolated components - Intelligent Defect Discovery & Verification - Automatically identify: - Functional defects - Workflow breaks - Regression issues - Performance and reliability risks - Ensure issues are: - Reproducible - Verified - Clearly explainable to humans - Continuous, Always-On QA - QA does not stop at “test execution” - Build systems that: - Run continuously - Adapt as the product evolves - Increase coverage automatically over time - Quality Ownership - Define what “release-ready” means - Block releases when quality is insufficient — with evidence - Raise risks early, clearly, and decisively What Success Looks Like - Bugs are found before humans see them - QA coverage grows without linear human effort - Development speed increases because QA is faster - QA agents actively challenge dev agents - Releases feel boring — because nothing breaks Schedule Daytime hours with 4–8 hours of overlap to US Pacific, with flexibility for critical releases or audits. Who You Are You think of QA as a system design problem, not a checklist. You’re excited by: - Autonomous systems - AI-driven exploration - Replacing manual effort with intelligence - Designing feedback loops, not just test suites You’re uncomfortable with: - Manually writing hundreds of brittle test cases - QA that reacts instead of anticipates - Automation that breaks every sprint Required Experience - 3+ years in QA (manual + automation) — foundation matters - Strong understanding of: - SDLC - Test strategies - Failure modes in complex SaaS systems - Hands-on experience with: - UI automation (Playwright / Cypress / Selenium) - API testing - Demonstrated use of AI in QA beyond basic test generation - Autonomous testing - AI-assisted exploratory testing - Intelligent test orchestration - Ability to explain how AI systems decide what to test next Strongly Preferred - Experience designing QA frameworks or platforms - Experience integrating QA into CI/CD at a system level - Performance / reliability testing - Healthcare or regulated systems experience - Prior work where QA influenced architecture decision Benefits - Remote-first - Equipment stipend - Local holidays (India) - Learning budget (QA, security, cloud, AI tools)