[IDM] Senior QA Engineer (Hybrid, AI, Data)

Job Description

Join our innovative team as a Senior QA/QC Engineer and take ownership of the quality and reliability of our sophisticated integrated data platform and user-facing applications. If you’re passionate about building robust products, skilled in both manual and automated testing, and thrive in collaborative environments, this is your chance to make a significant impact. You’ll work closely with talented backend, frontend, data and AI engineers to build cutting-edge data and AI solutions that support millions of users.

Responsibilities

• Test Planning & Design: Analyze system requirements, user stories, and technical specifications to create detailed test plans and comprehensive test cases.
• Collaborate Cross-Functionally: Work closely with product managers, developers, and designers in an agile environment to clarify requirements, identify risks, and ensure quality is integrated throughout the development process.
• Comprehensive Testing Execution: Perform exploratory, functional, regression, integration, and API testing to ensure robust coverage and high product reliability.
• Test Automation: Develop, maintain, and scale automated test scripts for both web UI and APIs using relevant frameworks and tools.
• Quality Advocacy: Identify, document, and track defects using tools like Jira. Drive continuous improvement of test coverage, QA processes, and quality standards.
• Process Optimization: Review and enhance QA workflows, tools, and testing strategies to improve efficiency and effectiveness across the team.
• Mentorship: Guide junior QA engineers, promoting a culture of quality and ongoing learning within the engineering organization.
• AI Quality Assurance: Collaborate with AI and data engineers to establish testing and evaluation methodologies for LLM outputs (e.g., hallucination detection, output quality, and user feedback loops).

Requirements

Technical Skills

Must Have:

• 5+ years of experience in software testing for web and/or mobile applications
• Proficiency in a programming/scripting language for test automation (e.g., TypeScript, Python)
• Solid understanding of QA methodologies, testing types, and best practices
• Ability to design detailed test plans, and comprehensive test cases derived from requirements and technical specifications.
• Rich experience in executing manual or automated API tests using relevant tools (e.g., Postman, Insomnia, SoapUI, custom scripts).
• Familiarity with modern testing frameworks such as Playwright and Vitest
• Familiarity with CI/CD pipelines and how QA fits into the release process
• Ability to read and analyze logs, API responses, and basic frontend/backend code for debugging
• Experience with load, stress, or performance testing tools and methodologies
• Experience with security testing including XSS, SQL injection, and other common vulnerabilities (OWASP Top 10)

Nice to Have:

• Experience testing data platforms, data pipelines, or systems with an API-first architecture
• Experience with additional backend or scripting languages (e.g., Go, Shell)
• Experience working in cross-functional teams with developers, designers, and product managers
• Experience with test case management tools (e.g., TestRail, Zephyr).
• Familiarity with cloud-based environments (e.g., AWS)
• Experience in evaluating or testing AI/ML-based systems, including LLM outputs, hallucination detection, or user feedback loops
• Familiarity with prompt engineering, output evaluation techniques (e.g., rubric-based scoring), or A/B testing for AI features
• Knowledge of AI-specific security concerns such as prompt injection attacks
• ISTQB or equivalent software testing certification

Communication

• Proactive communicator with strong collaboration skills
• Experience mentoring junior team members or leading testing initiatives
• Strong ownership and dedication to delivering quality software
• Business-level English proficiency (reading & writing required; conversational is a plus).