Senior Quality Analyst (QA)
Senior Quality Analyst (QA)
HeapTrace TechnologyThis job is no longer accepting applications
Job Description
About The Role
We are looking for a sharp, detail-oriented Senior QA who combines strong technical skills with
critical thinking and ownership. This role is ideal for someone who doesn't just test features, but
deeply understands systems, identifies risks early, and leverages AI-first approaches to
enhance quality, speed, and efficiency across the product lifecycle.
Key Responsibilities
What We Value (Beyond Skills)
We are looking for a sharp, detail-oriented Senior QA who combines strong technical skills with
critical thinking and ownership. This role is ideal for someone who doesn't just test features, but
deeply understands systems, identifies risks early, and leverages AI-first approaches to
enhance quality, speed, and efficiency across the product lifecycle.
Key Responsibilities
- Own end-to-end quality for assigned modules or products
- Design, develop, and execute comprehensive test strategies (Functional, API, UI,
- Collaborate closely with developers, product managers, and stakeholders to clarify
- Identify edge cases, hidden risks, and potential production issues proactively
- Build and maintain automation frameworks (UI/API) to improve test coverage and
- Perform API testing using tools like Postman / Playwright / similar
- Analyze defects, perform root cause analysis, and ensure proper resolution
- Contribute to CI/CD pipelines by integrating automated test suites
- Drive improvements in QA processes, test coverage, and release quality
- Mentor junior QA engineers and promote best practices
- Leverage AI tools to accelerate test case creation, test data generation, and defect
- Use AI-assisted automation for smarter test coverage and faster feedback cycles
- Explore and implement AI-driven testing approaches (self-healing locators, visual
- Utilize AI for root cause analysis, log analysis, and predictive risk identification
- Continuously evaluate and integrate new AI tools to improve QA efficiency and
- Contribute to building AI-driven QA workflows and agentic testing strategies
- 3+ years of experience in Software Testing / Quality Assurance
- Strong understanding of SDLC, STLC, and Agile methodologies
- Hands-on experience with automation tools (e.g., Playwright, Cypress, Selenium, etc.)
- Solid experience in API testing and backend validation
- Good understanding of databases and ability to write SQL queries
- Experience with bug tracking and test management tools
- Familiarity with CI/CD tools and version control (Git)
- Strong analytical thinking and problem-solving skills
- High ownership mindset – you take responsibility for quality, not just testing
- Strong logical thinking and ability to break down complex problems
- Curiosity to understand systems deeply, not just at surface level
- Ability to ask the right questions and challenge assumptions
- Openness to adopt AI-first ways of working and continuously evolve
- Clear and professional communication
- Experience with performance testing tools (JMeter, k6, etc.)
- Knowledge of security testing basics (OWASP concepts)
- Exposure to cloud environments (AWS, Docker, Kubernetes)
- Experience with visual testing or accessibility testing
- Hands-on experience with AI tools or frameworks in testing
- Opportunity to work in an AI-first engineering environment
- Ownership-driven culture with real influence on quality decisions
- Continuous learning with exposure to modern QA and AI-driven practices
What We Value (Beyond Skills)
- High ownership mindset – you take responsibility for quality, not just testing
- Strong logical thinking and ability to break down complex problems
- Curiosity to understand systems deeply, not just at surface level
- Ability to ask the right questions and challenge assumptions
- Openness to adopt AI-first ways of working and continuously evolve
- Clear and professional communication
- Experience with performance testing tools (JMeter, k6, etc.)
- Knowledge of security testing basics (OWASP concepts)
- Exposure to cloud environments (AWS, Docker, Kubernetes)
- Experience with visual testing or accessibility testing
- Hands-on experience with AI tools or frameworks in testing
- Opportunity to work in an AI-first engineering environment
- Ownership-driven culture with real influence on quality decisions
- Continuous learning with exposure to modern QA and AI-driven practices
