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Legrand

QA Software Engineer

Legrand

. Design, maintain, and execute test plans, test cases, and test scenarios .

Posted 9/23/2026full-timeBengaluru • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Software Quality Assurance methodologies, including automated and manual testing, with a strong focus on CI/CD integration and AI-assisted tools for enhancing testing efficiency. Proficient in developing and maintaining automated test frameworks and scripts, while effectively collaborating with cross-functional teams to ensure high software quality.

Highest-signal resume keywords
Automated Test DevelopmentCI/CD Pipeline IntegrationTest Automation Tools (Selenium, Cypress, Robot Framework)AI-Assisted Testing Tools (GitHub Copilot, ChatGPT)Software QA Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Automated Test DevelopmentTest Case ExecutionRegression TestingIntegration TestingScripting in PythonDebugging Network ProtocolsTest Framework DevelopmentLog AnalysisDefect TrackingSoftware Testing Techniques
Soft Skills
Excellent Communication SkillsAttention to DetailCollaborationCritical ThinkingContinuous Improvement Mindset
Tools & Technologies
SeleniumCypressRobot FrameworkJenkinsGitLab CI/CDGitHub ActionsAI-Assisted ToolsCI/CD EnvironmentsAutomated Test SuitesTechnical Documentation
Industry Keywords
Software Quality AssuranceAgile Development PracticesTest AutomationFunctional TestingExploratory TestingBoundary TestingCompatibility TestingConcurrency TestingSoftware Defect LifecycleGenerative AI

Tech Stack

Tools & technologies
CypressDistributed SystemsJenkinsPythonSelenium

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 to support 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 overall QA productivity
  • Contribute to the 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, GitHub Actions, or similar platforms
  • Experience with Git, GitLab, GitHub, and standard code review workflows
  • Strong scripting or programming skills in Python are required
  • 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 effectively 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 appropriate technical context to AI tools
  • Strong attention to detail and ability to clearly document test results, defects, and technical findings
  • Strong interest in continuously improving QA practices, automation coverage, engineering efficiency, and software quality

Benefits

Comp & perks
  • 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