QA Engineer - Payroll

Overview

Quality assurance role within Distro's payroll, compliance and benefits areas, testing payroll software solutions delivered to clients. Working hours overlap with U.S. hours.

What you'll do

• Define, establish, and stage data requirements for different payroll scenarios and calculations, including 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, using a combination of manual and automated testing tools.
• Create, maintain, and update test cases based on changes and 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.
• Apply software industry standard quality assurance practices, including test case design, software defect reporting, Agile testing techniques, and common software QA tools.
• Analyze, track, and report on application issues.
• Regularly summarize testing status and areas of risk, and where possible propose and execute mitigation strategies.
• Apply 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 efficiency and confidence gains through test automation.

What you'll need

• 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.
• 2+ years of experience within the PEO industry, with significant hands-on experience with software applications commonly used within the PEO industry.
• College degree or equivalent experience.
• 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, and to document and explain findings across other disciplines with the team and leadership.
• Organization: ability to organize large bodies of work and structure in a logical way.

Nice to have

• Degree preferably in Computer Science.

Details

• Location: Noida, Uttar Pradesh.
• Working hours overlap with U.S. hours.
• Onsite work.