QA Automation Engineer

Roles And Responsibilities

• Design, develop, and maintain automation frameworks for Salesforce applications, web applications, APIs, and data validation scenarios
• Create reusable automation components, utilities, shared libraries, and maintainable framework solutions aligned with industry best practices
• Leverage AI-enabled tools responsibly to improve automation development, test design, and productivity
• Validate critical end-to-end business processes across integrated enterprise applications
• Collaborate with engineering, product, business stakeholders, and subject-matter experts to translate requirements into automated test coverage
• Develop, execute, and maintain regression suites for high-risk and business-critical workflows
• Integrate automated tests into CI/CD pipelines and support test reporting and quality gates
• Manage test data, dependencies, and environment readiness to ensure reliable execution
• Support functional, integration, regression, and release validation activities
• Document test strategies, automation coverage, assumptions, and known risks
• Contribute to continuous improvement of QA processes, automation frameworks, and engineering practices
  
  

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience
• 5–6 years of hands-on experience in QA automation for enterprise web applications, Salesforce platforms, or integrated business systems
  
  

Required Skills & Qualifications

Must Have

• 5–6 years of experience in test automation for enterprise applications
• Proven experience developing and maintaining automation frameworks, reusable components, shared libraries, and utilities
• Hands-on experience with Playwright for UI and end-to-end automation testing
• Experience testing Salesforce applications and business workflows
• Working knowledge of Salesforce platform concepts and integrated enterprise workflows
• Experience with UI, API, regression, integration, and end-to-end test automation
• Strong JavaScript/TypeScript skills for automation development
• Experience integrating automation suites with CI/CD pipelines
• Knowledge of test data management and validation techniques
• Strong debugging, analytical, and problem-solving skills
• Experience working in Agile environments and collaborating with QA, Engineering, Product, and Business teams
• Effective written and verbal communication skills
• Ability to quickly learn new tools, technologies, and automation frameworks
  
  

Preferred Qualifications

• Experience working with Salesforce Clouds and cross-application business processes
• Exposure to enterprise automation tools such as Copado Robotic Testing, Provar, Tricentis Tosca, Cypress, or similar platforms
• Experience with API automation, SQL queries, and data validation
• Exposure to containerized test execution environments and cloud-based test infrastructure
• Practical experience using AI-assisted development tools to improve test automation efficiency and maintainability
• Understanding of automation metrics, test coverage analysis, and execution reporting
  
  

Soft Skills

• Strong ownership and accountability
• Quality-first mindset with attention to detail
• Agile and adaptable approach to problem-solving
• Collaborative and team-oriented mindset
• Ability to evaluate tools and solutions pragmatically based on business needs and maintainability
• Strong organizational and prioritization skills
• Continuous learning mindset with interest in emerging automation and AI technologies
  
  

AI Automation & Proficiency

• Working knowledge of AI-assisted tools and workflows (e.g., generative AI assistants, AI-powered coding/testing tools, or agentic AI platforms) relevant to the role's core function.
• Ability to apply effective prompting techniques to accelerate research, documentation, coding, or analysis tasks.
• Comfortable learning and adopting new AI-enabled tools as part of day-to-day work, with a willingness to continuously build AI fluency.
• Understanding of responsible AI use, including data privacy, security, and verification of AI-generated outputs before acting on them.
  
  

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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