Software Technical Lead Engineer

Design, develop, and execute comprehensive test strategies for desktop-based and equipment control software applications. Create and maintain automated test suites to improve release quality, coverage, and execution efficiency. Develop test cases, test data, test plans, and validation scenarios for new product features and software releases. Leverage GenAI tools such as GitHub Copilot and ChatGPT to accelerate test case generation, automation scripting, and quality engineering workflows. Qualify new software releases, patches, and enhancements before deployment to customers. Investigate, reproduce, analyze, and troubleshoot customer-reported software issues. Perform detailed log analysis, debugging, root-cause identification, and defect reporting. Partner with engineering teams to ensure timely issue resolution and high-quality customer outcomes. Explore AI-powered quality engineering solutions, test automation frameworks, and intelligent defect analysis techniques. Drive quality improvements through automation, process optimization, and modern engineering practices.

5+ years of experience in Software Quality Assurance, Test Automation, or Software Validation. Strong understanding of software testing methodologies including Functional, Integration, Regression, System, GUI, and Performance Testing. Experience developing automated test solutions for enterprise, desktop, or control software applications. Proficiency in programming or scripting using Java, Python, or similar languages. Hands-on experience with GenAI tools such as GitHub Copilot or ChatGPT for testing and automation activities. Ability to independently own testing activities. Strong analytical, debugging, troubleshooting, and problem-solving skills. Understanding of computer architecture and operating systems. Excellent communication, collaboration, and stakeholder management skills. Willingness to work on desktop-based applications, equipment control software, and hardware-integrated software solutions. Experience building Generative AI agents to support QA workflows and testing functions. Knowledge of AI-assisted or vibe coding techniques for automated test generation. Familiarity with automation frameworks and modern testing tools. Experience with Unix/Linux operating systems. Exposure to semiconductor equipment software, industrial automation, or hardware-integrated applications.

Bewerben Sie sich über den "Jetzt bewerben"-Button.