QA Automation Engineer

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 

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 

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 

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.