Software Quality Assurance Engineer

MedCare MSO Global; Lahore; On-site; PKR 1,200,000 - 2,400,000; Full time

Job summary

Medcare MSO in Lahore, on-site, seeks a SQA Engineer to join our AI Team and ensure the quality, accuracy, reliability, and performance of AI-enabled applications.

You will work with ML and Data Engineers to test APIs, data workflows, and user-facing features, perform SQL validation, and contribute to automation using Pytest, Selenium, or Playwright.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, IT, Data Science, or related field.
• 2–4 years of experience in Software Quality Assurance, preferably AI/healthcare IT or data-driven products.
• Strong understanding of manual QA concepts, test case writing, defect lifecycle, and QA documentation.
• Hands-on experience with API testing tools such as Postman, Swagger, or Newman.
• Good understanding of REST APIs, JSON, HTTP methods, status codes, authentication, and request/response validation.
• Working knowledge of SQL for database testing and data validation.
• Basic understanding of Python for automation testing or data validation.
• Exposure to automation frameworks such as Pytest, Selenium, or Playwright will be preferred.
• Basic knowledge of AI/ML testing concepts such as model prediction validation, false positives/negatives, accuracy, precision, recall, and edge-case testing.
• Experience with Jira, ClickUp, Azure DevOps, TestRail, Zephyr, or similar tools.
• Familiarity with Git and CI/CD testing workflows will be an added advantage.
• Strong analytical thinking, attention to detail, communication skills, and ability to work in cross-functional teams.

Responsibilities

• Design, develop, and execute test cases for AI-based applications, APIs, dashboards, and backend workflows.
• Perform functional, regression, smoke, sanity, integration, and UAT testing across AI products.
• Validate AI/ML outputs by comparing system-generated results against expected business, healthcare, or RCM rules.
• Test REST APIs using tools such as Postman, Swagger, or similar platforms.
• Perform database validation using SQL to verify data accuracy, completeness, duplication, and consistency.
• Collaborate with ML Engineers and Data Engineers to validate datasets, model outputs, and data pipelines.
• Identify edge cases, incorrect predictions, inconsistent AI responses, and output quality issues.
• Report bugs with clear steps to reproduce, expected results, actual results, screenshots, logs, and severity levels.
• Support automation testing using Python-based frameworks such as Pytest, Selenium, or Playwright.
• Participate in sprint planning, requirement discussions, release testing, and production verification.
• Ensure tested solutions comply with healthcare data accuracy, confidentiality, and HIPAA-related expectations.
• Maintain QA documentation, test scenarios, test execution reports, and defect tracking records.

Skills

QA fundamentals

API testing

SQL for data validation

Python basics

Test planning & reporting

Communication

Education

Bachelor's degree in Computer Science/IT

Tools

Postman

Swagger

Newman

Pytest

Selenium

Playwright

Job description

Medcare MSO is one of the largest USA-based Healthcare IT company in Pakistan, with 1000+ people on board. We implement best practices and adopt state-of-the-art technology tools to achieve results. We are looking for a SQA Engineer to join our AI Team and ensure the quality, accuracy, reliability, and performance of AI-enabled applications. The ideal candidate should have strong QA fundamentals, hands‑on API and database testing experience, and a good understanding of how to validate AI/ML-based outputs. This role will work closely with ML Engineers, Data Engineers, and Full Stack Engineers to test AI products, backend APIs, data workflows, and user-facing features.

Location

Lahore (on-site)

Responsibilities

• Design, develop, and execute test cases for AI-based applications, APIs, dashboards, and backend workflows
• Perform functional, regression, smoke, sanity, integration, and UAT testing across AI products
• Validate AI/ML outputs by comparing system‑generated results against expected business, healthcare, or RCM rules
• Test REST APIs using tools such as Postman, Swagger, or similar platforms
• Perform database validation using SQL to verify data accuracy, completeness, duplication, and consistency
• Collaborate with ML Engineers and Data Engineers to validate datasets, model outputs, and data pipelines
• Identify edge cases, incorrect predictions, inconsistent AI responses, and output quality issues
• Report bugs with clear steps to reproduce, expected results, actual results, screenshots, logs, and severity levels
• Support automation testing using Python‑based frameworks such as Pytest, Selenium, or Playwright
• Participate in sprint planning, requirement discussions, release testing, and production verification
• Ensure tested solutions comply with healthcare data accuracy, confidentiality, and HIPAA‑related expectations
• Maintain QA documentation, test scenarios, test execution reports, and defect tracking records

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, Data Science, or a related field
• 2–4 years of experience in Software Quality Assurance, preferably in AI, healthcare IT, SaaS, or data‑driven products
• Strong understanding of manual QA concepts, test case writing, defect lifecycle, and QA documentation
• Hands‑on experience with API testing tools such as Postman, Swagger, or Newman
• Good understanding of REST APIs, JSON, HTTP methods, status codes, authentication, and request/response validation
• Working knowledge of SQL for database testing and data validation
• Basic understanding of Python for automation testing or data validation
• Exposure to automation frameworks such as Pytest, Selenium, or Playwright will be preferred
• Basic knowledge of AI/ML testing concepts such as model prediction validation, false positives, false negatives, accuracy, precision, recall, and edge‑case testing
• Experience with Jira, ClickUp, Azure DevOps, TestRail, Zephyr, or similar tools
• Familiarity with Git and CI/CD testing workflows will be an added advantage
• Strong analytical thinking, attention to detail, communication skills, and ability to work in cross‑functional teams

Preferred Tech Stack

• Testing Tools: Postman, Swagger, Newman, Selenium, Playwright, Pytest
• Programming/Scripting: Python
• API Testing: REST APIs, JSON, JWT/Auth testing