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AI Summary
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Design, develop, and maintain automation frameworks for Salesforce applications, web applications, APIs, and data validation scenarios
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Create reusable automation components, utilities, shared libraries, and maintainable framework solutions aligned with industry best practices
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Leverage AI-enabled tools responsibly to improve automation development, test design, and productivity
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Validate critical end-to-end business processes across integrated enterprise applications
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Collaborate with engineering, product, business stakeholders, and subject-matter experts to translate requirements into automated test coverage
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Develop, execute, and maintain regression suites for high-risk and business-critical workflows
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Integrate automated tests into CI/CD pipelines and support test reporting and quality gates
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Manage test data, dependencies, and environment readiness to ensure reliable execution
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Support functional, integration, regression, and release validation activities
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Document test strategies, automation coverage, assumptions, and known risks
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Contribute to continuous improvement of QA processes, automation frameworks, and engineering practices
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Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience
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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
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5–6 years of experience in test automation for enterprise applications
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Proven experience developing and maintaining automation frameworks, reusable components, shared libraries, and utilities
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Hands-on experience with Playwright for UI and end-to-end automation testing
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Experience testing Salesforce applications and business workflows
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Working knowledge of Salesforce platform concepts and integrated enterprise workflows
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Experience with UI, API, regression, integration, and end-to-end test automation
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Strong JavaScript/TypeScript skills for automation development
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Experience integrating automation suites with CI/CD pipelines
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Knowledge of test data management and validation techniques
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Strong debugging, analytical, and problem-solving skills
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Experience working in Agile environments and collaborating with QA, Engineering, Product, and Business teams
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Effective written and verbal communication skills
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Ability to quickly learn new tools, technologies, and automation frameworks
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Experience working with Salesforce Clouds and cross-application business processes
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Exposure to enterprise automation tools such as Copado Robotic Testing, Provar, Tricentis Tosca, Cypress, or similar platforms
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Experience with API automation, SQL queries, and data validation
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Exposure to containerized test execution environments and cloud-based test infrastructure
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Practical experience using AI-assisted development tools to improve test automation efficiency and maintainability
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Understanding of automation metrics, test coverage analysis, and execution reporting
Soft Skills
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Strong ownership and accountability
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Quality-first mindset with attention to detail
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Agile and adaptable approach to problem-solving
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Collaborative and team-oriented mindset
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Ability to evaluate tools and solutions pragmatically based on business needs and maintainability
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Strong organizational and prioritization skills
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Continuous learning mindset with interest in emerging automation and AI technologies
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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.
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Ability to apply effective prompting techniques to accelerate research, documentation, coding, or analysis tasks.
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Comfortable learning and adopting new AI-enabled tools as part of day-to-day work, with a willingness to continuously build AI fluency.
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Understanding of responsible AI use, including data privacy, security, and verification of AI-generated outputs before acting on them.
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