QA Engineer - Payroll

Vensure Employer Solutions

Dadri

Remote

INR 450,000 - 700,000

Full time

4 days ago
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Job summary

Vensure India is seeking a meticulous QA professional with strong knowledge of U.S. payroll, benefits and compliance issues to join a quality-driven payroll software team. The role overlaps with U.S. hours and spans payroll, compliance and benefits areas in an Agile environment.

You will define data requirements, execute regression tests, review calculations, and collaborate with automation QA engineers to improve efficiency and product quality.

Qualifications

  • 2+ years in the PEO industry with hands-on software experience.
  • College degree or equivalent, CS preferred.
  • Analytical thinking to interpret tax rules and payroll data.
  • Proficiency with Excel and data analysis tools.
  • Time management and clear communication across teams.
  • Organizational skills to manage large work volumes.

Responsibilities

  • Define, stage, and test payroll scenarios across demographics, wage structures, deductions, and tax brackets.
  • Perform regression testing with manual and automated tools.
  • Create and maintain test cases based on changes.
  • Review U.S. payroll calculations in multiple scenarios.
  • Participate in Agile development lifecycle from concept to release.
  • Apply QA practices, defect reporting, and testing techniques.
  • Track issues and communicate risk with mitigation plans.
  • Collaborate with automation QA to target efficiency gains through test automation.

Skills

Detail accuracy
US payroll taxes

Education

College degree or equivalent (CS preferred)

Tools

Excel

Job description

We are looking for a meticulous, quality driven QA professional with extensive understanding of U.S. payroll, benefits and compliance issues.


This is an exciting opportunity to contribute to a quality-driven team that takes pride in delivering high-impact payroll software solutions to our clients. This role will work within our payroll, compliance and benefits areas with working hours that overlap with U.S. hours.


Job Responsibilities


  • Define, establish, and stage data requirements for different payroll scenarios and calculations. This includes testing different employee demographics, wage structures, types of deductions, tax rates and brackets involving multiple jobs and locations.

  • Conduct regression testing to ensure stability and quality of the product. This includes a combination of manual testing and automated testing tools.

  • Create, maintain, and update test cases based on the changes/modifications implemented by the team.

  • Review and validate U.S payroll calculations in different scenarios.

  • Participate in the entire development life cycle from concept to release in an Agile environment.

  • Understand and participate in software industry standard quality assurance practices, including but not limited to test case design, software defect reporting, and Agile testing techniques, as well as common software QA tools.

  • Analyzes, tracks, and re****ports on application issues.

  • Regularly summarizes testing status and areas of risk, and wherever possible propose and execute mitigation strategies.

  • Employs a sound risk management approach to determine well-structured and comprehensive test strategies for assigned projects.

  • Collaborate with automation QA engineers to identify and prioritize areas for significant efficiency and confidence gains through test automation.


Required Skills


  • Keen Eye for Detail~ Ability to spot discrepancies, inconsistencies and errors in payroll data and tax calculations with a high degree of accuracy.

  • Solid Understanding of U.S. payroll and taxes


Qualifications


  • 2+ years of experience within the PEO industry, coupled with significant hands-on experience with software applications commonly used within the PEO industry.

  • Education~ College degree or equivalent experience, preferably in Computer Science

  • Analytical Thinking~ Ability to interpret and apply tax rules, analyze payroll data, and troubleshoot complex issues.

  • Technical Proficiency~ Comfortable working with Excel and/or other tools used for data analysis.

  • Time Management~ Ability to prioritize tasks and manage time effectively in a demanding environment.

  • Communication Skills~ Ability to communicate effectively in a clear and concise manner. Ability to document and explain findings across other disciplines with the team and leadership.

  • Organization~ Ability to organize large bodies of work and structure in logical way


#VensureHRIndia


We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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