About HighLevel:HighLevel is an AI-powered business operating system that gives agencies, entrepreneurs and SMBs the infrastructure to build, automate and scale. Today, HighLevel supports SMBs across 150+ countries, fueling community-driven growth rooted in real customer outcomes.
To date, businesses operating on HighLevel have generated over $7 billion in ecosystem value, demonstrating the impact of shared infrastructure at scale. By centralizing conversations, automation and intelligence into one system, we help businesses move faster, reduce complexity and execute efficiently.
Behind the platform, HighLevel powers more than 4 billion API hits and 2.5 billion message events daily. With 250 terabytes of distributed data, 250+ microservices and over 1 million domain names supported, our architecture is built for performance, resilience and long-term scalability.
Our People
With over 2,000 team members across 10+ countries, HighLevel operates as a global, remote-first organization built for speed and ownership. We value initiative, clarity and execution, creating space for ambitious people to build systems that support millions of businesses worldwide. Here, innovation thrives, ideas are celebrated and people come first, no matter where they call home.
Our Impact
Every month, HighLevel enables more than 1.5 billion messages, 200 million leads and 20 million conversations for the more than 1 million businesses we support. Behind those numbers are real people building independence, expanding opportunity and creating measurable impact. We’re proud to be a part of that.
Learn more about us on our YouTube Channel or Blog Posts
About the Role:
We are looking for a skilled SDET2 with strong experience in mobile test automation. The ideal candidate should have hands-on expertise in Appium using JavaScript/TypeScript 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, analyse root causes, and ensure timely resolution
Improve automation coverage and reduce manual testing
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 optimise STLC using AI, reducing regression time and improving release confidence
Requirements:
3+ 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, Git
Strong understanding of OOP and test design principles
Strong debugging and problem-solving skills
Hands-on experience using AI tools (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
Nice 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:
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