About this role
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)
Must 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