WalkMe is looking for a QA Engineer to design and execute manual test plans and contribute to the overall quality of our web applications. We’re looking for someone who pays close attention to detail, thrives in a fast-paced environment, and is passionate about building high-quality products. This role is perfect for someone who thinks critically, works methodically, and enjoys being part of a dynamic, collaborative team. If you're passionate about product quality, process ownership, and working alongside some of the best talent in the industry – we’d love to meet you.

So what will you actually be doing?

• Design, plan, and execute QA tests and test plans for complex web applications.
• Collaborate closely with development and product teams throughout the development lifecycle.
• Investigate and report product issues to ensure our high-quality standards are met.
• Review functionality and performance of final products before deployment.
• Manage software releases, including updates, patches, and bug fixes across multiple production environments.
• Maintain and monitor automated integration testing pipelines using Cypress and DD.
• Contribute to documentation, QA processes, and continuous improvement initiatives.
  
  

• 3+ years of experience in QA for complex web applications.
• Experience testing client-server applications using REST methodology and tools (e.g., Postman).
• Strong analytical mindset with high attention to detail and accuracy.
• Solid understanding of UI/UX principles and ability to evaluate good UI.
• Experience writing clear and comprehensive test documentation (test cases, feature specs).
• Proficiency in using DevTools (Console, Network) for debugging and analysis.
• Familiarity with version control systems (e.g., Git).
• Hands-on experience working with databases (SQL, MongoDB).Ability to work independently and within a cross-functional team.
• Excellent written and spoken English communication skills.
  
  

• Experience with JavaScript and Cypress test automation.
• Experience working with DataDog Tools.