QA Engineer – PEO Industry & U.S. Payroll 1895

Posted 2 Days Ago
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Nairobi, KEN
In-Office
Mid level
Artificial Intelligence • Big Data • Information Technology • Software
The Role
Performs manual, regression, functional, and software release testing for PEO payroll solutions. Validates payroll calculations, tax rates, deductions, benefits, workflows, and compliance with U.S. federal, state, and local regulations. Designs and maintains test cases, manages test data, reports defects, supports root cause analysis, and participates in Agile SDLC activities. Collaborates with Product, Development, Payroll, Compliance, and automation teams to identify risks and improve testing coverage.
Summary Generated by Built In
Work Model: 100% On-site
Schedule: 8:00 AM – 5:00 PM ET
English Level: B2+ to C1
Experience Required: 2–3 years in Quality Assurance and at least 2 years in the PEO industry.
Position Overview

We are seeking a detail-oriented QA Engineer with strong expertise in the Professional Employer Organization (PEO) industry, U.S. payroll processing, payroll compliance, and tax regulations.

The ideal candidate combines hands-on software quality assurance experience with deep functional knowledge of payroll operations, enabling them to validate complex payroll scenarios, tax calculations, benefits configurations, and regulatory compliance requirements.

This role will focus on ensuring the accuracy, reliability, and quality of payroll software solutions through comprehensive testing methodologies and close collaboration with Product, Development, Payroll, and Compliance teams.

Key Responsibilities
Payroll & Compliance Validation
  • Define, prepare, and manage test data for various payroll testing scenarios.

  • Validate payroll calculations across multiple business scenarios.

  • Test employee demographics, earnings, deductions, benefits, tax rates, tax brackets, multiple jobs, and work locations.

  • Review payroll outputs to ensure compliance with U.S. federal, state, and local payroll and tax regulations.

  • Identify payroll discrepancies, calculation errors, tax inaccuracies, and potential compliance risks.

  • Validate payroll workflows and ensure accurate processing of payroll-related transactions.

Quality Assurance & Software Testing
  • Execute comprehensive manual and regression testing to ensure system stability and product quality.

  • Design, develop, maintain, and update test cases based on product requirements and enhancements.

  • Validate new features, bug fixes, system updates, and software releases.

  • Identify, document, track, and report software defects.

  • Participate in root cause analysis and issue resolution.

  • Perform functional testing and validate results against business requirements.

Risk Management & Testing Strategy
  • Develop effective testing strategies based on business and compliance risks.

  • Prioritize testing activities according to product impact and regulatory requirements.

  • Ensure thorough validation of high-risk payroll and tax functionalities.

  • Identify potential risks and contribute to mitigation strategies.

Collaboration & Agile Participation
  • Participate throughout the Software Development Lifecycle (SDLC).

  • Collaborate closely with Product, Development, Payroll, and Compliance teams.

  • Support Agile ceremonies and testing activities.

  • Communicate testing progress, identified risks, and mitigation plans.

  • Work with QA Automation Engineers to identify opportunities for test automation.

  • Clearly document findings and communicate effectively with cross-functional teams.



RequisitosPEO Industry Experience – Highest Priority
  • Minimum 2 years of professional experience within the PEO industry.

  • Strong understanding of PEO payroll operations, compliance processes, and client service models.

  • Experience working with payroll software applications commonly used in PEO environments.

U.S. Payroll & Tax Expertise
  • Strong knowledge of U.S. payroll processing and payroll compliance.

  • Understanding of federal, state, and local tax regulations.

  • Experience reviewing and validating payroll calculations, tax calculations, tax rates, tax brackets, wage structures, employee deductions, and benefits-related payroll transactions.

  • Ability to interpret payroll regulations and identify calculation discrepancies and compliance risks.

Quality Assurance Experience
  • 2–3 years of hands-on experience in Software Testing, Quality Assurance, or related QA roles.

  • Proven experience in:

    • Manual Testing

    • Regression Testing

    • Test Case Design and Maintenance

    • Test Execution and Validation

    • Defect Identification and Reporting

    • Agile Testing Practices

  • Experience using QA and project management tools.

  • Strong analytical thinking, problem-solving skills, and attention to detail.

  • Proficiency in Excel for data analysis and validation.

English & Communication
  • English proficiency: B2+ to C1.

  • Strong verbal and written communication skills.

  • Ability to clearly document findings and collaborate with cross-functional teams.

Education
  • Bachelor's degree or equivalent professional experience.

  • Degree in Computer Science, Software Engineering, or a related field preferred.

Highly Preferred Experience – PrismHR

Hands-on experience with PrismHR is highly valued, particularly:

  • Practical experience using and navigating the PrismHR platform.

  • Experience processing payroll through PrismHR.

  • Experience validating payroll workflows and payroll outputs within the platform.

  • Ability to identify inconsistencies in payroll calculations and processing results.

Additional Preferred Skills
  • Jira

  • Azure DevOps

  • Test Automation Exposure

  • Benefits Administration Knowledge

  • Agile Methodologies

  • Software Development Lifecycle (SDLC)

  • Defect Tracking and Test Management Tools

Key Competencies
  • Strong analytical and problem-solving skills.

  • Exceptional attention to detail.

  • Effective verbal and written communication.

  • Risk identification and management.

  • Strong organizational and documentation skills.

  • Cross-functional collaboration.

  • Commitment to software quality and regulatory compliance.



Skills Required

  • Minimum 2 years of professional experience in the Professional Employer Organization industry
  • 2–3 years of hands-on experience in software testing, quality assurance, or related QA roles
  • Strong understanding of PEO payroll operations, compliance processes, and client service models
  • Experience with payroll software applications used in PEO environments
  • Strong knowledge of U.S. payroll processing and payroll compliance
  • Understanding of federal, state, and local payroll tax regulations
  • Experience validating payroll, tax, deductions, benefits, wage, and employee-related calculations
  • Ability to interpret payroll regulations and identify discrepancies and compliance risks
  • Manual testing experience
  • Regression testing experience
  • Test case design and maintenance experience
  • Test execution and validation experience
  • Defect identification and reporting experience
  • Agile testing experience
  • Experience using QA and project management tools
  • Proficiency in Excel for data analysis and validation
  • English proficiency at B2+ to C1 level
  • Strong verbal and written communication skills
  • Bachelor's degree or equivalent professional experience
  • Degree in Computer Science, Software Engineering, or a related field
  • Hands-on experience with PrismHR
  • Practical experience navigating and processing payroll through PrismHR
  • Experience validating PrismHR payroll workflows and outputs
  • Experience with Jira
  • Experience with Azure DevOps
  • Exposure to test automation
  • Benefits administration knowledge
  • Knowledge of Agile methodologies and SDLC
  • Experience with defect tracking and test management tools
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The Company
139 Employees

What We Do

The company provides automation and process optimization, UX innovation, software designing and testing, big data, artificial intelligence, and machine learning. They are involved in the development of computer systems and IT consulting.

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