Job Description
Position Overview We 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 Responsibilities 1.
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 & Qualifications Technical 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.