Automation Test Engineer Job Details | QualityAI

QualityAI is an AI-powered quality engineering company seeking a highly skilled Test Automation Engineer. The role focuses on modern Quality Engineering practices by combining automation expertise and AI-driven testing to ensure reliable software delivery across enterprise applications.

Responsibilities:

• Design, build, and maintain scalable automated test frameworks for UI, API, integration, regression, and end-to-end testing
• Develop reusable and maintainable automation assets that support continuous testing in CI/CD pipelines
• Create automated tests that validate both technical functionality and business-critical workflows
• Drive shift-left and in-sprint automation practices to improve release quality and reduce production defects
• Establish automation standards, coding practices, and scalable framework designs
• Translate business requirements, customer journeys, and acceptance criteria into risk-based testing strategies
• Understand customer impact, operational dependencies, compliance needs, and business value behind features
• Prioritize automation efforts based on business risk, user impact, and production importance
• Partner with product managers, analysts, developers, and stakeholders to identify critical scenarios, dependencies, and edge cases
• Evaluate quality through business outcomes, operational continuity, and user trust, not only pass/fail results
• Communicate technical quality indicators and business risk during release readiness discussions
• Use AI tools to improve test generation, defect analysis, test data management, traceability, and automation efficiency
• Leverage AI-assisted workflows to identify coverage gaps, optimize low-value tests, detect ambiguous requirements, and predict failure points earlier in the SDLC
• Evaluate AI-driven solutions such as self-healing automation, anomaly detection, intelligent regression selection, and automated defect triage
• Ensure AI-generated outputs remain accurate, traceable, maintainable, and aligned with governance and business standards
• Collaborate with engineering and quality leadership to define responsible AI adoption within testing practices
• Work closely with developers, analysts, and product owners to embed quality and testability into solution design
• Participate in backlog refinement, sprint planning, design reviews, and release readiness reviews
• Identify risks related to environments, dependencies, integrations, and test data, and recommend mitigation strategies
• Validate data consistency across UI, APIs, databases, and downstream systems
• Support root cause analysis through automation results, logs, system behavior analysis, and defect investigation
• Continuously improve automation coverage, reliability, execution speed, and reporting quality

Requirements:

• 3–5 years of experience in QA automation, test automation, or quality engineering
• Strong experience with automation frameworks such as Playwright, Selenium, Cypress, or similar
• Proficiency in JavaScript/TypeScript, Python, Java, or C#
• Experience testing web applications, APIs, and integrated enterprise systems
• Strong database knowledge and API validation experience
• Experience integrating automated testing into CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar tools
• Strong understanding of Agile delivery, SDLC, and modern quality engineering practices
• Strong business acumen with the ability to align testing priorities to operational risk, compliance, and customer value
• Ability to identify meaningful business impacts and communicate technical issues clearly to stakeholders
• Experience using AI-assisted tools for automation, debugging, test generation, and productivity improvement
• Understanding of AI governance, traceability, maintainability, and responsible usage
• Strong analytical thinking, problem-solving, communication, adaptability, and continuous improvement mindset
• Experience with Python, Databricks, AI-developed automation scripting, or Agentic AI
• Familiarity with AI-based testing platforms, intelligent test optimization, and prompt-driven testing workflows