QA Engineer

PROJECT DESCRIPTION

A dynamic wellness tech venture offering innovative tools to support proactive health management. Its primary product is a smart scale equipped with cutting-edge BIA technology, delivering precise data on key body metrics such as fat percentage, lean mass, and hydration. By merging advanced engineering with a seamless digital experience, it empowers users to make informed decisions about their health.

STACK ON THE PROJECT

Cypress, Playwright, Selenium, or similar for E2E, Postman, REST-assured, or similar, JMeter, k6, or Artillery, CI/CD platforms, Docker

STAGE

live product

TEAM

20+ employees from their side and 50 engineers from our side

REQUIREMENTS

Experience & Core QA Skills

• 5+ years of QA experience focused on manual testing
• Strong in test design, execution, and exploratory testing
• Solid understanding of SDLC/STLC
• Experience with functional, regression, integration, and UAT testing
• Strong at identifying edge cases, usability issues, and risk areas
• Attention to UI/UX consistency, ability to perform detailed UI/UX validations against design requirements

API, System & Data Testing

• Experience testing REST and/or GraphQL APIs (e.g., Postman)
• Ability to validate data integrity, integrations, and end-to-end workflows
• Experience with database validation and data consistency checks
• Strong system thinking across distributed components

Release, CI/CD & Non-Functional Awareness

• Familiarity with CI/CD pipelines and release cycles
• Experience supporting smoke/regression testing in staging environments
• Basic understanding of performance (load, scalability) and security risks (OWASP concepts)

Healthcare / Regulated Systems (Preferred)

• Experience with HIPAA-compliant or healthcare applications
• Familiarity with clinical workflows and medical terminology
• Exposure to pharmaceutical or patient data systems
• Experience validating audit trails, compliance, and reporting
• Knowledge of HL7 / FHIR standards

Mathematical & Clinical Validation

• Ability to test complex calculations, algorithms, and data logic
• Experience validating statistical or clinical decision systems
• Strong attention to edge cases in medical/clinical scenarios
• Comfort validating dosing logic or scientific computations

Nice to Have

• Experience with AI/ML or decision-support systems
• Background in clinical trials or pharma QA
• Knowledge of health domains (nutrition, endocrinology, etc.)
• Accessibility testing (WCAG)
• Exposure to chaos/fault injection testing
• Telemedicine or digital health experience
• Familiarity with BDD or structured exploratory testing

RESPONSIBILITIES

• Design and execute manual test cases, test plans, and exploratory testing across functional, regression, integration, and UAT areas
• Validate web applications, APIs (REST/GraphQL), and end-to-end workflows, ensuring correct data flow and system behavior
• Perform database testing to verify data integrity, accuracy, and consistency across systems
• Execute smoke and regression testing during release cycles in staging and production-like environments
• Identify, document, and track defects, edge cases, and system risks with clear reproduction steps and impact analysis
• Collaborate with engineering and product teams throughout the SDLC/STLC to ensure product quality
• Support testing within CI/CD pipelines and continuous delivery processes
• Assess and report potential performance and security risks during testing activities
• Validate complex business logic, calculations, and data-driven or clinical scenarios, including edge cases

Domain-Specific Responsibilities (Where Applicable)

• Validate systems in healthcare or regulated environments, ensuring compliance with standards and requirements
• Test and verify audit trails, compliance data, and healthcare interoperability standards (HL7/FHIR)
• Support testing of AI/ML systems, telemedicine platforms, and health-tech applications

Additional QA Responsibilities

• Conduct accessibility testing (WCAG compliance) to ensure an inclusive user experience
• Improve test coverage through structured exploratory testing techniques
• Apply structured thinking approaches (e.g., BDD-style scenarios where relevant) to improve clarity of test coverage

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