[Hiring] Mobile SDET 2 @HighLevel

Role Description

We are looking for a skilled SDET 2 with strong experience in mobile test automation. The ideal candidate should have hands-on expertise in Appium using JavaScript/TypeScript (preferred) or Java, along with experience in building scalable automation frameworks, CI/CD integration, performance testing, and leveraging AI to improve testing efficiency and release velocity.

Responsibilities

• Design and develop scalable automation frameworks for mobile applications
• Write clean and maintainable automation scripts using Appium (Android & iOS)
• Execute and manage test runs on BrowserStack or similar cloud platforms
• Integrate automation tests into CI/CD pipelines (Jenkins, GitHub Actions)
• Collaborate with developers and product teams to define test strategy
• Perform functional, regression, and end-to-end testing
• Debug issues, analyze root causes, and ensure timely resolution
• Improve automation coverage and reduce manual testing

AI-Driven Responsibilities

• Leverage AI tools to generate test cases, edge cases, and test data from requirements, PRs, or API specifications
• Use AI to analyze test failures, logs, and screenshots to accelerate debugging and root cause analysis
• Contribute to building or integrating AI-powered utilities such as PR analysis, test impact analysis, or smart test selection
• Continuously explore ways to optimize STLC using AI, reducing regression time and improving release confidence

Qualifications

• 3–6 years of experience in QA Automation / SDET
• Strong experience with Appium (Android & iOS)
• Proficiency in JavaScript/TypeScript (preferred) or Java
• Experience with BrowserStack or similar tools
• Experience with frameworks like WebdriverIO, Mocha, Jest
• Hands-on experience in API testing
• Experience with CI/CD pipelines
• Strong understanding of OOP and test design principles
• Experience with Git
• Strong debugging and problem-solving skills

Requirements

• Hands-on experience using AI tools (e.g., ChatGPT, Claude, Copilot) for test case generation, debugging, or automation improvements
• Understanding of how AI can be applied in test automation, CI/CD, and quality engineering workflows
• Ability to validate and refine AI-generated outputs to ensure accuracy and reliability
• Basic understanding of LLMs, prompt engineering, or AI-assisted workflows in a testing context

Good to Have

• Performance testing (JMeter, k6, etc.)
• Experience in building AI-assisted automation tools or internal utilities
• Exposure to test impact analysis, self-healing tests, or intelligent test selection
• Familiarity with integrating AI into CI/CD pipelines or developer workflows

EEO Statement

The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government recordkeeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision.

We encourage you to review our policies before submitting your application.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.