Automation Test Engineer

Automation Test Engineer

We are seeking a highly skilled Test Automation Engineer who brings together strong technical automation expertise, deep business acumen, and practical application of AI-driven quality engineering practices. This role focuses on modern Quality Engineering by combining automation expertise, business acumen, and AI-driven testing practices to ensure reliable software delivery across enterprise applications and integrated systems.

Key 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.

Business & Product Alignment:

• 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.

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.

Preferred Qualifications:

• 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.

Why QualityAI?

QualityAI is an AI-first quality engineering company helping enterprises deploy and scale complex systems with greater confidence. Operating across data, models, platforms, infrastructure, and operational environments, the company provides assurance and engineering expertise that helps organizations ensure systems perform reliably in real-world conditions. Formerly Qualitest, QualityAI supports global enterprises across regulated and technology-driven industries, combining deep engineering heritage with AI-enabled delivery, operational assurance, and lifecycle expertise to help clients achieve certainty at go-live. Be a part of a company who strives to support for diversity and inclusion in the workplace – we are one, we are many at QualityAI. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences. Local and global opportunities – we offer you internal rotation and international mobility opportunities to grow your career. Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers. Never stop experimenting and learning with QualityAI Tech academy: 3000+ training courses, mentorship programs, technical tribes, sponsored certifications, leadership programs and much more Earn bonuses via our Client Referral and Employee Referral Program's. Refer and earn – tap your network for net-worth. Competitive pay, with a salary range of $110,000–$120,000 per year.