QA Engineer

This role is for one of Weekday’s clients Salary range: Rs 1200000 - Rs 1600000 (ie INR 12 - 16 LPA)

Min Experience: 4+ years Location: Bengaluru, Karnataka, India JobType: full-time

We are looking for a skilled QA Engineer to join a data and AI-driven engagement in the pharma commercial space. You will be responsible for ensuring the quality, reliability, and AI-readiness of a modern application stack spanning React frontends and Python-based backend services — including AI/ML components. Requirements Key Responsibilities - Design, develop, and execute comprehensive test plans covering frontend applications built with React and backend systems using Python and REST APIs. - Build, maintain, and enhance automated test suites across UI, API, and integration layers. - Conduct AI readiness assessments by validating model inputs and outputs, data pipelines, edge cases, hallucination risks, and performance thresholds for AI-powered features. - Collaborate with data scientists and engineering teams to define acceptance criteria for machine learning models and AI algorithms. - Perform functional, regression, performance, and User Acceptance Testing (UAT) across development and release cycles. - Identify, document, track, and manage software defects while coordinating with development teams for resolution and retesting. - Integrate automated test cases into CI/CD pipelines and contribute to implementing quality gates. - Validate data accuracy and consistency across pharmaceutical commercial workflows, including sales force data, HCP/HCO information, and market access. - Participate in sprint planning, reviews, and other Agile ceremonies. - Provide QA sign-off and ensure product quality before production releases. Required Skills and Experience - 4–6 years of hands-on experience in Quality Assurance and software testing within software product or analytics environments. - Strong experience testing React-based frontend applications, including component testing and end-to-end testing. - Proficiency in frontend automation tools such as Cypress, Playwright, or Selenium. - Strong backend and REST API testing experience using Python-based frameworks such as Pytest and Requests. - Exposure to testing AI/ML systems, including model validation, output consistency checks, data drift detection, and handling non-deterministic behaviour. - Familiarity with CI/CD tools such as GitHub Actions, Jenkins, or similar platforms, including automated test integration. - Solid understanding of test design techniques, including boundary value analysis, equivalence partitioning, and exploratory testing. - Strong documentation skills for preparing test cases, defect reports, test results, and QA sign-off summaries. Good-to-Have Skills - Prior experience in the pharmaceutical commercial domain, with an understanding of HCP/HCO targeting, sales force effectiveness, market access, or promotional analytics. - Experience with performance and load testing tools such as Locust, JMeter, or k6. - Familiarity with MLflow, model registries, and AI observability tools. - Understanding of data quality frameworks and validation techniques for structured and unstructured data. - Exposure to AI/ML testing methodologies and quality assurance practices. Soft Skills - Strong analytical, troubleshooting, and problem-solving abilities. - Ability to collaborate effectively with engineers, data scientists, and business stakeholders. - Excellent verbal and written communication skills, with the ability to explain defects and quality risks to technical and non-technical audiences. - Self-driven approach with strong attention to detail. - Ability to work effectively in ambiguous, fast-paced environments while managing multiple priorities. Key Skills Must-Have: QA, React, Python Good-to-Have: AI/ML, GitHub Actions