Job Description
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
- Define and execute automated test cases, test plans, and test scripts for SAP SuccessFactors, Workday modules, or other related HR applications focusing on functionality, integration, and regression testing
- Execute integration testing across HR systems, ensuring accurate data flow between platforms (e.g., Workday, SAP SuccessFactors)
- Drive E2E testing spanning multiple components (UI, services, data stores, ETL jobs, events/queues) and validate key HR workflows (recruiting, onboarding, payroll, benefits, time, talent)
- Perform API and backend testing to validate data integrity and system interactions
- Create and manage test plans, test cases, and executions using JIRA (preferably with Xray)
- Defect tracking and reporting
- Document and share knowledge using Confluence
- Design, build, and maintain robust test automation frameworks and scripts using JavaScript‑based with Playwright, and Java with TestNG; promote code quality through design patterns, code reviews, and quality gates
- Integrate automated tests into CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps), enabling shift-left testing, parallelization, test flakiness control, and reporting dashboards
- Execute database testing using advanced SQL queries, focusing on data mapping, transformations, and calculations
- Work closely with development, product, and integration teams to identify issues and drive resolution
- Provide actionable insights for continuous improvement in testing processes
- Adapt to evolving testing requirements driven by business priorities across diverse platforms and products
- Leverage AI tools to accelerate QA and AI-driven test automation to boost coverage, speed, and reliability: LLM-assisted test case generation, automated test data creation, anomaly/defect prediction, self-healing locators, autonomous test execution
- Track and communicate quality metrics/KPIs (coverage, escape rate, flakiness) and drive continuous improvement
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use
Requirements
- 10+ years in SDET roles with deep experience in test automation and complex integration testing within HR platforms
- Strong hands-on expertise with Playwright (JavaScript/TypeScript) for UI and backend test automation, including Playwright MCP, self-healing locator strategies, and advanced framework design. Proven ability to write clean, maintainable, reusable code and drive improvements in test stability, scalability, and automation best practices
- Expertise in GitHub branching strategies and workflow management, including feature branching, pull request reviews, and CI/CD pipeline integration
- Experience using GitHub Copilot
- Java coding experience with TestNG and Cucumber BDD; comfort switching between JavaScript/TypeScript and Java
- Hands-on experience with Workday and/or SAP SuccessFactors
- Proficiency in API testing using Postman and automation frameworks; experience with REST (GraphQL is a plus)
- Advanced SQL for database testing, data validation, and reconciliation across systems
- Experience with Jira (preferably Xray for test management), Confluence, Git/GitHub
- Hands-on experience with AI platforms and tools (e.g., Copilot Studio), including building AI agents, combined with a strong willingness to learn and apply AI-driven testing strategies. Open to introducing innovative ideas such as leveraging AI for automated test generation, anomaly detection, and predictive analytics to enhance QA processes
- Solid understanding of SDLC, Agile/Scrum, CI/CD, branching strategies, and code review practices
- Strong analytical skills, attention to detail, and exceptional communication and stakeholder collaboration
- Knowledge of cloud technologies (AWS or similar)
- Experience with Excel-based data analysis and reporting
Nice to have
- Experience with performance testing (Preferred)
- Bachelor’s or higher degree in Computer Science or a related technical field
Company offers
- Medical, Personal Accident, Life Insurance and Time Off
