HighLevel

HighLevel

HighLevel provides an all-in-one sales and marketing platform that agencies can white label and resell, offering tools and resources designed to help businesses consolidate their marketing efforts and achieve their growth objectives.

Internet Software & Services
251-1K
Founded 2018
$60M raised

Description

  • Design and develop scalable automation frameworks for mobile applications.
  • Write clean and maintainable automation scripts using Appium for Android and iOS.
  • Execute and manage test runs on BrowserStack or similar cloud testing platforms.
  • Integrate automated tests into CI/CD pipelines such as Jenkins and 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 effort.
  • Use AI tools to generate test cases, edge cases, and test data from requirements, pull requests, or API specifications.
  • Use AI to analyze test failures, logs, and screenshots to speed up debugging and root cause analysis.
  • Contribute to AI-powered utilities such as PR analysis, test impact analysis, and smart test selection.
  • Explore ways to optimize STLC with AI to reduce regression time and improve release confidence.

Requirements

  • 3–6 years of experience in QA Automation or SDET roles.
  • Strong experience with Appium for Android and iOS.
  • Proficiency in JavaScript/TypeScript, preferred, or Java.
  • Experience with BrowserStack or similar cloud testing tools.
  • Experience with frameworks such as WebdriverIO, Mocha, or 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.
  • Hands-on experience using AI tools such as ChatGPT, Claude, or 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 for accuracy and reliability.
  • Basic understanding of LLMs, prompt engineering, or AI-assisted workflows in a testing context.
  • Performance testing experience with tools such as JMeter or k6 is preferred.
  • Experience building AI-assisted automation tools or internal utilities is preferred.
  • Exposure to test impact analysis, self-healing tests, or intelligent test selection is preferred.
  • Familiarity with integrating AI into CI/CD pipelines or developer workflows is preferred.

Interested in this position?

Apply directly on the company website

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