Fieldglass VMS Product QA Tester Automation and Regression

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.

Required Skill Profession

Prb