QA Engineer – Manual Testing & Dataset Benchmarking

Role: QA Engineer (Manual)

Exp: 6 months - 2 years

Shift time: 10am - 8pm / 12pm-10pm IST

Work Mode: Work from Office ( Mohali PB)

Job Role & Responsibilities

We are hiring a QA Engineer Manual Testing to ensure the quality accuracy reliability and functionality of our AI-powered recruitment products. The ideal candidate should have a strong understanding of manual testing methodologies test case design defect reporting and product validation.

The primary focus of this role will be manual functional testing including API testing regression testing integration testing and validating product behavior across different datasets and real-world scenarios. Knowledge of test automation will be an added advantage but is not mandatory.

• Perform manual testing of web applications APIs and AI-powered recruitment products.
• Understand product requirements and prepare detailed test scenarios test cases and test data.
• Execute functional regression integration smoke sanity and exploratory testing.
• Identify document report and track software defects using JIRA or similar tools.
• Validate API requests responses status codes and error handling using tools such as Postman.
• Test product functionalities using different datasets edge cases and real-world scenarios.
• Prepare organize and maintain test datasets for product validation and accuracy benchmarking.
• Perform document testing across multiple file formats including PDF DOC DOCX RTF and TXT.
• Validate Resume Parsing and Job Description Parsing accuracy across different document formats layouts and industries.
• Test Search & Match functionality to verify the relevance and accuracy of matching results.
• Compare expected and actual outputs to identify functional defects data extraction issues and accuracy gaps.
• Prepare test execution reports defect summaries and product accuracy benchmarking reports.
• Perform defect retesting and regression testing to verify fixes and ensure existing functionality remains unaffected.
• Collaborate with developers product managers and other QA team members to improve overall product quality.
• Participate in Agile/Scrum activities and contribute to continuous QA process improvements.

• Good understanding of software testing fundamentals SDLC and STLC.
• Hands-on experience in manual testing of web applications and APIs.
• Experience in writing and executing test cases test scenarios and test plans.
• Knowledge of functional regression integration smoke sanity and exploratory testing.
• Experience with defect tracking and reporting tools such as JIRA.
• Basic understanding of REST APIs JSON and API testing using Postman.
• Basic SQL knowledge for database validation.
• Ability to analyze requirements identify edge cases and validate expected versus actual results.
• Strong analytical problem-solving and communication skills.
• Attention to detail and the ability to document issues clearly.

• Basic knowledge of test automation tools such as Selenium Playwright or Cypress.
• Familiarity with Java or Python for test automation.
• Exposure to API automation using REST Assured or similar frameworks.
• Understanding of automation frameworks such as TestNG JUnit or Pytest.
• Experience with AI/ML product testing data validation or accuracy benchmarking.
• Familiarity with CI/CD tools such as Jenkins.
• Experience with test management tools such as TestRail or Zephyr.
• Exposure to recruitment technology ATS platforms Resume Parsing or Search & Match products.

The candidate should be comfortable performing hands-on manual testing identifying functional and data accuracy issues preparing meaningful test datasets and ensuring product quality across releases.

Qualification Required

Bachelors degree in Computer Science Information Technology Engineering Data Science or a related field.

6 months 2 years of experience in Product Testing Manual QA Software Testing Data Validation or a similar analytical role.

Strong analytical and problem-solving skills with excellent attention to detail.

Good written and verbal communication skills.

Ability to analyze product outputs and document observations clearly.

Technical background

Basic understanding of software testing principles and product validation.

Experience working with structured and unstructured datasets.

Comfortable testing documents in multiple formats such as PDF DOC DOCX RTF TXT etc.

Basic knowledge of issue tracking tools such as JIRA or similar platforms.

Proficient in Microsoft Excel or Google Sheets for preparing benchmarking and analysis reports.

Understanding of AI/ML-based products or data-driven applications will be an advantage.

Minimum skills we look for

Strong analytical and observation skills.

Product functionality testing.

Dataset preparation and validation.

Document testing across multiple file formats.

Benchmarking product accuracy using different datasets.

Ability to compare expected vs. actual product outputs.

Issue identification reporting and validation.

Good reporting and documentation skills.

Ability to work independently and collaboratively with Product and Engineering teams