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.**

• *Key Responsibilities**
• -----------------------

• **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.**

• *Required Skills and Qualifications**
• -------------------------------------

• **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.**

• *Good to Have**
• ---------------

• **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.**

• *Role Expectations**
• --------------------

• *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**

• *Bachelor's 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**