Automation Test Engineer

Qualitest GroupSanta Clara, CA
$110,000 - $120,000

About The Position

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.

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.

Nice To Haves

  • 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.

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.

Benefits

  • Support for diversity and inclusion
  • Internal rotation and international mobility opportunities
  • Flexible and casual culture
  • Employee events
  • Amenities and games provided from Employees Centers
  • 401k plan with company match
  • Competitive healthcare benefits
  • HSA match
  • Learning & Development platform (QCraft)
  • Corporate Wellness Program (Gym membership reimbursement, earn additional vacation times for gym attendance)
  • Client Referral and Employee Referral Program bonuses
  • Qudos platform for bonuses and spot awards
  • Employee Perks for discounts
  • Competitive pay
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