• SAP Performance Testing Engineer • Work Location: Remote • Duration: 4 months possible extension

• Actively partner with Business, Architecture, Product, Design, and Software Engineering teams to align testing activities with business acceptance criteria and architectural realities. • Participate in and help facilitate mandatory "Cross-Functional Journey Review & Sign-Off" ceremonies to attest that all business-critical paths, edge cases, and transitional states are documented and tested. • Take a proactive, self-driven approach to identifying gaps in test coverage. Drive E2E quality initiatives, ensuring the testing strategy shifts left and adheres to the Testing Pyramid. • Analyze business requirements to identify and map end-to-end user journeys (e.g., the complete Loan Origination flow) from the WebUI, through the Orchestration layer, down to backend dependencies. • Design, build, and refactor scalable automated tests for both UI and API-based E2E scenarios using Playwright. Create reusable libraries to ensure zero code duplication. • Validate system interoperability, data flows, and API contracts between modern microservices and legacy systems. • Integrate and maintain automated test suites within CI/CD pipelines (e.g., CloudBuild) to run on demand against selected cloud platforms (LambdaTest). • Validate complex data transformations (e.g., DB2 to PostgreSQL migrations). Work alongside Test Data Management (TDM) strategies to utilize masked, synthetic data for realistic test scenarios without exposing PII. • Collaborate tightly with Stream-Aligned Teams (in-sprint testers) to transfer knowledge, review execution results, and prioritize testing based on risk and business impact.

• Unified Automation: Design and maintain automated test frameworks that support both Web (React/Vue/Angular) and Mobile (Android) platforms using modern tools like Playwright or Cypress. • Test Strategy: Partner with Front End and Android engineers to define "Definition of Done" and ensure testability is baked into every feature from the design phase. • API & Integration: Develop automated tests for RESTful APIs to ensure the backend supports both the web and mobile front ends seamlessly, including performance and load simulation testing. • CI/CD & Infrastructure: Embed automated suites (smoke, functional, and regression) into the deployment pipeline (GitHub Actions/Jenkins) to enable rapid, confident releases and manage test infrastructure. • Bug Lifecycle: Identify, document, and troubleshoot complex issues that span across mobile and web environments, providing deep technical analysis. • Performance & UX: Proactively monitor and analyze app performance and responsiveness using logging tools, establishing and reporting against quantitative performance benchmarks (e.g., load times, resource utilization) to ensure the Android app and Web app meet high standards for user experience. • Quality Advocacy: Act as a quality evangelist, mentoring developers on writing effective unit tests and promoting a "quality-first" mindset across the engineering department. • Technical Mentorship: Drive the adoption of best practices and lead the technical growth of the QA team by providing hands-on mentorship, conducting code reviews, and establishing engineering standards to enhance scripting capabilities and automation skill sets. • AI-Augmented Quality Gates: Drive the strategy and implementation of Generative AI for test automation, including setting up tools (e.g., Atlassian Rovo Dev or equivalents) to automatically generate E2E, and regression test cases directly from Jira User Stories.

• Design and execute comprehensive test cases covering all reconciliation scenarios—matched, missing, duplicate, mismatch, and unmatched records—ensuring end-to-end accuracy across the platform • Create robust test data sets that capture edge cases, boundary conditions, and real-world financial scenarios to validate system behavior under diverse conditions • Perform regression testing after each build to identify regressions and ensure previously fixed issues remain resolved • Validate reconciliation outputs by manually verifying Excel and PDF reports against expected results, with sharp focus on amount discrepancies, date accuracy, and ID-level matching • Develop and maintain automated test frameworks using pytest or equivalent tools to increase test coverage and reduce manual testing overhead • Document detailed test results and defect reports with clear reproduction steps, severity levels, and supporting evidence for engineering teams • Collaborate with product and engineering teams to understand requirements, clarify test scenarios, and communicate quality metrics and blockers • Sign off on data accuracy and report integrity before production releases, ensuring stakeholder confidence in reconciliation results