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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Software Quality Assurance methodologies, test automation, and CI/CD practices, with a strong focus on utilizing AI-assisted tools for enhancing testing efficiency and coverage. Proven ability to develop and maintain automated test frameworks while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
Test Automation DevelopmentCI/CD Pipeline IntegrationAI-Assisted Testing ToolsSoftware QA MethodologiesScripting in Python
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Test Plan DesignAutomated Test ScriptsFunctional TestingRegression TestingIntegration TestingDebugging Network ProtocolsTest Automation FrameworksScripting in PythonTest Case ExecutionDefect Tracking
Soft Skills
Excellent Communication SkillsAttention to DetailCollaboration
Tools & Technologies
Robot FrameworkSeleniumCypressPlaywrightGitHub ActionsJenkinsGitLab CI/CDAI-Assisted Tools
Industry Keywords
Software QAAgile DevelopmentContinuous ImprovementTest OptimizationDefect Classification
Tech Stack
Tools & technologiesCypressDistributed SystemsJavaJenkinsPythonSeleniumGo
About the role
Key responsibilities & impact- Design, maintain, and execute test plans, test cases, and test scenarios
- Develop and maintain automated test scripts for functional, regression, integration, and end-to-end testing
- Identify opportunities to increase automation coverage and reduce repetitive manual testing
- Perform functional, regression, integration, exploratory, negative, boundary, compatibility, and system testing
- Identify, reproduce, document, and track software defects throughout their lifecycle
- Analyze automated test results, logs, and failures to identify product, automation, or environment issues
- Debug and troubleshoot network protocols, APIs, services, and system behavior
- Maintain clear and accurate QA documentation
- Collaborate with Software Engineering, Product Management, and QA teams throughout the development lifecycle
- Participate in technical, design, architecture, and code review discussions from a quality and testability perspective
- Integrate and maintain automated tests within CI/CD pipelines
- Use AI-assisted tools for test case generation, automation development, debugging, log analysis, defect investigation, and technical documentation
- Identify opportunities to apply AI and automation to improve test efficiency, coverage, reliability, and QA productivity
- Contribute to continuous improvement of QA processes, tools, automation frameworks, and engineering practices
Requirements
What you’ll need- Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related field
- 4+ years of professional experience in Software QA, Software Testing, or a related engineering role
- Strong understanding of Software QA methodologies, testing techniques, and Agile software development practices
- Experience creating and executing both manual and automated test cases
- Experience with functional, regression, integration, negative, boundary, compatibility, and concurrency testing
- Experience developing, maintaining, or contributing to automated test frameworks
- Experience working with CI/CD environments and automated test execution pipelines
- Experience troubleshooting software defects, analyzing logs, and identifying potential root causes
- Practical experience using AI-assisted engineering tools such as GitHub Copilot, ChatGPT, Claude, Gemini, or similar technologies for testing, automation, debugging, or technical analysis
- Excellent written and verbal communication skills in English
- Strong experience with test automation tools and frameworks such as Robot Framework, Selenium, Cypress, Playwright, or similar technologies
- Experience developing, maintaining, and troubleshooting automated test suites
- Ability to identify suitable automation candidates and improve regression and end-to-end test coverage
- Experience with CI/CD tools and practices such as Jenkins, GitLab CI/CD, or GitHub Actions
- Experience with Git, GitLab, GitHub, and standard code review workflows
- Strong scripting or programming skills in Python required; Golang or Java experience is a plus
- Basic knowledge of networking, APIs, web services, and distributed systems
- Practical knowledge of Generative AI and AI-assisted software engineering tools
- Ability to use AI for test generation, automation development, test data creation, debugging, log analysis, and defect investigation
- Ability to critically review and validate AI-generated code, scripts, test cases, and technical recommendations
- Familiarity with prompt engineering and providing technical context to AI tools
- Interest in applying AI to automation maintenance, failure analysis, test optimization, and defect classification
- Strong attention to detail and ability to document test results, defects, and technical findings
- Strong interest in continuously improving QA practices, automation coverage, engineering efficiency, and software quality
Benefits
Comp & perks- Comprehensive medical, dental, and vision coverage
- High employer 401K match
- Paid time off (PTO)
- Holiday pay
- Short-term and long-term disability benefit plans
- Above-benchmark paid maternity and parental leave
- Bonus opportunities in accordance with the Company’s incentive plans
- Paid time off to volunteer
- Employee Resource Group network