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Xsolla

Posted 7 months ago

Open

Senior QA Automation Engineer KL

Kuala LumpurOn-siteFull-time

AI Summary

Senior QA Automation Engineer who leads manual testing, exploratory testing, and integrates AI-driven testing tools to improve coverage and defect detection across CI/CD.

About this role

ABOUT YOU
We are looking for a Senior QA Engineer who is meticulous, technically sharp, and forward-thinking to join our engineering team. You thrive in fast-paced, agile environments and are passionate about ensuring quality at every stage of the development lifecycle. You are not only confident in manual testing but also eager to integrate AI driven testing tools and workflows to elevate productivity, test coverage, and defect detection.
You bring deep expertise in exploratory and structured testing, contribute to team best practices, and are proactive in monitoring production behavior and user experiences. You stay curious about emerging tools and technologies, especially AI, and know how to leverage them effectively without losing sight of the fundamentals.
If you’re excited to improve test processes, advocate for quality across teams, and drive innovation in QA through automation and AI, we’d love to hear from you.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.

Responsibilities

  • Own and lead manual testing of complex features across multiple environments
  • Drive exploratory and regression testing using structured documentation and product knowledge
  • Identify, log, and track reproducible issues with precision using bug tracking tools (e.g. Jira)
  • Analyze production logs and real-user behavior to proactively identify quality gaps
  • Create and maintain detailed test cases, checklists, and QA documentation
  • Collaborate with engineering and DevOps teams to ensure reliable CI/CD test coverage
  • Evaluate and integrate AI-powered tools (e.g. test generation, log analysis, visual regression) into QA workflows
  • Set up and manage test environments, staging pipelines, and job configurations
  • Conduct load/stress testing and performance investigations
  • Act as a quality advocate across sprint planning, reviews, and release cycles
  • Mentor junior QA engineers and promote a culture of proactive quality ownership

    • Qualifications & Skills

  • Proven experience in software QA or testing roles, including ownership of end-to-end quality
  • Degree in Computer Science, Information Technology, or related field
  • Strong understanding of manual testing methodologies and defect life cycle
  • Proficiency with bug tracking systems (e.g., Jira) and version control (e.g., Git)
  • Practical experience using Postman and similar tools for API validation
  • Hands-on experience with CI/CD pipelines and deployment readiness processes
  • Proficiency with browser developer tools and basic terminal/command-line usage
  • Strong verbal and written English communication skills
  • Familiarity with AI-powered testing tools (e.g., test case generation, smart test prioritization, AI log analysis)
    • Good to Have
  • Experience with Playwright, Cypress, or Selenium for automated test development
  • Understanding of backend technologies, APIs, and familiarity with PHP or related languages
  • Experience working in Linux environments and using Bash scripting
  • Hands-on with AI platforms (e.g., ChatGPT, Testim, Mabl, or AI-based bug triaging tools) in a QA context

    • Skills

    AI Log AnalysisAI-powered Testing ToolsAPI ValidationBrowser Developer ToolsBug TrackingCI/CD PipelinesCypressGitJiraLinux/bashLoad TestingPlaywrightPostmanQA DocumentationRegression TestingSeleniumSmart Test PrioritizationTest Case DesignTest GenerationVisual Regression

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