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# QA Automation Engineer IV

- **Company:** Robert @
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $109,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Microsoft Azure, Cloud Computing, Code Coverage, Software Quality, Code Review, Computer Programming, Continuous Integration, Software Design Patterns, Distributed Systems, Github, Python (Programming Language), Object-Oriented Software Development, Scrum Methodology, Cloud Services, Salesforce.Com, Selenium, Software Quality Assurance (SQA), Systems Integration, Test Data, Enterprise Software Applications, Salesforce Lightning, Gitlab, Salesforce Sales Cloud, Information Technology, Playwright, Data Analytics, Restful APIs, Software Version Control, Marketing Cloud
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_rhicorp-ROHAGLOBALJR260898EXTERNALENGLOBAL

## About the Role

The ideal candidate is passionate about automation, has deep expertise in Salesforce testing, and has demonstrated innovative use of Artificial Intelligence to improve test development, execution, maintenance, and quality insights. **What You'll Do** + Design, develop, execute, and maintain automated test suites for Salesforce applications, APIs, integrations, and end-to-end business processes. + Enhance and support the enterprise automation framework to ensure scalability, maintainability, reliability, and ease of adoption. + Build reusable automation components, libraries, utilities, and test data strategies. + Develop automated tests across multiple layers, including UI, API, integration, regression, and end-to-end testing. + Implement robust automation design patterns such as Page Object Model, data-driven, keyword-driven, and hybrid frameworks. + Continuously evaluate and improve automation coverage, effectiveness, and execution efficiency. + Validate Salesforce customizations
and configurations across Sales Cloud, Service Cloud, Marketing Cloud, Experience Cloud, and integrated enterprise applications. + Create and maintain automation solutions for Salesforce Lightning components, workflows, integrations, and APIs. + Collaborate with developers to improve application testability and ensure quality is designed into solutions from the start. + Participate in requirements reviews and sprint planning to identify automation opportunities early in the development lifecycle. + Leverage AI tools and technologies to accelerate automation development, improve code quality, and reduce maintenance costs. + Utilize generative AI solutions to: + Generate automation scripts and reusable framework components. + Create test cases and test data. + Analyze APIs and request/response validations. + Identify automation gaps and optimize test coverage. + Accelerate root cause analysis and defect triage. + Evaluate emerging AI-powered testing capabilities and recommend
innovative approaches that improve quality engineering outcomes. + Partner with teams to establish AI-assisted testing best practices and governance standards. + Participate in code reviews and automation design reviews. + Drive continuous learning and adoption of innovative testing techniques and technologies. **What You'll Need** + Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. + 7+ years of software quality assurance or quality engineering experience. + 5+ years of hands-on automation development experience. + Strong experience testing Salesforce applications and platforms. + Experience developing and maintaining enterprise automation frameworks. + Proficiency with automation tools such as Robot Framework, Selenium, Provar, Playwright, or equivalent technologies. + Strong programming skills in Python, Java, JavaScript, or similar languages. + Experience testing REST APIs, integrations, and distributed systems. +
Experience working within Agileenvironments. + Strong analytical, troubleshooting, and communication skills. + Experience with source control and CI/CD platforms such as GitHub, Azure DevOps, or GitLab. + Knowledge of performance, security, accessibility, and mobile testing practices.