Automation Test Engineer

Key Responsibilities

• Design, build, and maintain scalable automated test frameworks for UI, API, integration, regression, and end-to-end testing.
• 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.

Business & Product Alignment

• Translate business requirements, customer journeys, and acceptance criteria into risk-based testing strategies.
• Prioritize automation efforts based on business risk, user impact, and production importance.
• Evaluate quality through business outcomes, operational continuity, and user trust, not just pass/fail results.
• Communicate technical quality indicators and business risk during release readiness discussions.

AI-Enabled Quality Engineering

• 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.

Quality Engineering Across the SDLC

• 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.

Required Qualifications

• 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.

Critical Skills

• 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.