Fieldglass VMS Product QA Tester

Position OverviewWe are seeking a highly skilled and detail-oriented Fieldglass VMS Product QA Tester to join our Quality Engineering team. The ideal candidate will have deep expertise in SAP Fieldglass or other leading Vendor Management Systems (VMS), combined with advanced automation and regression testing skills.This role involves ensuring product quality, performance, and compliance for large-scale, multi-tenant SaaS implementations. Experience with AI-driven test automation frameworks, API-level testing, and complex workflow validations is highly desirable.You will work closely with product managers, developers, solution consultants, and implementation teams to design, execute, and optimize test strategies that ensure exceptional quality in every VMS product release.Key Responsibilities1. Quality Assurance & Testing- Develop, execute, and maintain comprehensive test plans, test cases, and test scripts based on business and functional requirements. - Perform functional, regression, integration, system, and UAT testing for Fieldglass modules (e.g., Job Postings, Timesheets, Invoicing, Supplier Management, Compliance). - Validate end-to-end contingent workforce workflows, including requisition creation, supplier submissions, onboarding, timesheets, and payment cycles. - Ensure platform integrity across multi-tenant environments with different configurations and user roles. - Conduct cross-browser and device testing to ensure consistent user experiences.2. Automation Engineering- Design and implement automated test suites for regression and smoke testing using tools such as Selenium, TestNG, Cypress, or Playwright. - Develop data-driven and API-level automated tests (using tools like Postman, RestAssured, or Katalon). - Integrate automation tests into CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps) for continuous testing. - Optimize test automation frameworks for scalability and maintainability. - Leverage AI-based test automation tools (e.g., Testim, Mabl, Functionize, Applitools, Katalon AI) to accelerate regression coverage and anomaly detection.3. AI & Intelligent Testing (Preferred / Advanced)- Explore and integrate AI and ML-based testing methodologies, including predictive analytics for defect detection and test case prioritization. - Use AI-assisted tools to identify UI changes, optimize regression coverage, and improve test accuracy. - Participate in proof-of-concept evaluations of emerging AI testing platforms and frameworks.4. VMS Domain Expertise- Apply deep understanding of VMS business processes including contingent labor workflows, rate management, compliance rules, and supplier engagement. - Test complex approval chains, integrations, and role hierarchies between clients, MSPs, suppliers, and contingent workers. - Validate data integrity across integrations with ERP, HRIS, and finance systems such as Workday, SAP, Oracle, Coupa, and payroll providers. - Verify compliance with global data privacy and security standards (GDPR, SOC2, ISO 27001) within the VMS ecosystem.5. Collaboration & Reporting- Work closely with Product Management and Development teams to review requirements, acceptance criteria, and design specifications. - Collaborate with Implementation and Customer Success teams to replicate production issues and ensure defect-free releases. - Document, track, and manage defects using JIRA, Azure DevOps, or similar bug tracking systems. - Provide QA sign-off for product releases, ensuring all acceptance criteria and test coverage requirements are met. - Participate in scrum ceremonies (standups, sprint planning, retrospectives) within an Agile environment.Required Skills & QualificationsTechnical Skills- 5–8 years of QA experience in enterprise SaaS or VMS environments (preferably SAP Fieldglass, Beeline, or similar platforms). - Strong expertise in manual and automated testing of complex multi-tenant systems. - Hands-on experience with automation tools: - UI: Selenium, Cypress, Playwright, TestNG - API: Postman, RestAssured, Katalon, SoapUI - CI/CD: Jenkins, GitHub Actions, Azure DevOps - Proficiency in scripting languages (e.g., Python, Java, or JavaScript) for automation framework customization. - Understanding of SQL and data validation for backend testing. - Familiarity with AI-powered testing tools such as Testim, Mabl, Functionize, or Applitools. - Experience in cloud-based testing environments (AWS, Azure, GCP).Domain Knowledge- In-depth understanding of VMS processes, including contingent workforce lifecycle, rate cards, compliance checks, timesheet approvals, and invoicing workflows. - Strong grasp of multi-currency, multi-language, and global deployment scenarios in SaaS systems. - Exposure to ERP/HRIS integrations (SAP, Workday, Oracle) and SSO configurations. - Knowledge of GDPR and data protection requirements.Soft Skills- Excellent analytical and problem-solving abilities. - Strong documentation and communication skills — able to explain technical issues to non-technical stakeholders. - Proactive, detail-oriented, and results-driven approach to testing. - Ability to multitask in a fast-paced Agile environment and manage tight deadlines.Preferred Qualifications- Certification in ISTQB, Certified Software Tester (CSTE), or equivalent. - Experience working in Agile/Scrum environments. - Exposure to performance testing tools (JMeter, LoadRunner). - Experience with test data management and synthetic data generation for large-scale SaaS testing.Why Join Us- Work on cutting-edge VMS and contingent workforce technologies with global enterprise impact. - Opportunity to pioneer AI-driven testing practices within a high-growth SaaS organization. - Collaborate with world-class engineers, product managers, and enterprise clients. - Competitive compensation, learning opportunities, and career advancement.