Jobs Companies Thinkahead QA Automation Engineer

Über diese QA Automation Engineer Stelle bei Thinkahead

Thinkahead · Remote · Gurugram, Haryana

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. 

 

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