We're seeking an experienced .NET Test Automation Engineer to join our expanding team. In this Senior Engineer role, you'll design, build, and run automated test scripts leveraging .NET technologies. Your deep knowledge of software testing, particularly in architecting and implementing automated test frameworks, will be essential to maintaining the quality and reliability of our software products. Responsibilities Design, develop, and maintain scalable test automation frameworks using .NET and industry-standard testing tools, ensuring reliability, maintainability, and high test coverage Integrate Generative AI and LLM-based capabilities into test automation workflows to support test case generation, automation script development, test data synthesis, and intelligent defect analysis Develop and integrate AI-powered agents, utilities, and APIs to automate testing activities, optimize regression testing, and streamline quality assurance processes Apply software design patterns, clean code principles, reusable components, and robust architectural practices to build maintainable automation solutions Integrate automated test suites and AI-powered testing capabilities into CI/CD pipelines, enabling continuous testing, intelligent test selection, automated failure analysis, and quality gates Evaluate the accuracy, reliability, and effectiveness of LLM-based testing solutions using appropriate evaluation methods, monitoring, and observability practices Assess emerging GenAI models, AI coding assistants, and AI-driven testing tools; develop prototypes and recommend solutions based on technical feasibility and business value Work closely with developers, QA engineers, DevOps specialists, and other stakeholders to promote engineering excellence and accelerate AI adoption across the SDLC Present technical solutions and AI-driven automation prototypes, explaining their architecture, benefits, limitations, and implementation considerations Requirements 5+ years of experience in software engineering, test automation, QA automation, or a related software development role Proven experience in test automation using .NET technologies Solid understanding of .NET frameworks (e.g., NUnit, MSTest) and tools (e.g., Visual Studio, Selenium WebDriver) Proficient in programming languages such as C#, .NET and SQL Practical experience applying GenAI technologies, LLM APIs, and prompting techniques to software testing, automation engineering, or software development workflows Hands-on experience using AI tools to accelerate test design, generate or improve automation scripts, create synthetic test data, analyze test failures, or optimize regression testing Understanding of agentic workflows, tool calling, LLM evaluation, and methods for assessing the quality, reliability, and limitations of AI-generated outputs Familiarity with software development methodologies, including Agile and Scrum B2+ English level, both written and spoken Nice to have Experience building LLM-powered applications, agents, or workflows using frameworks such as LangChain, LangGraph, LlamaIndex, or similar technologies Knowledge of AI-powered testing tools, self-healing automation, intelligent test selection, or automated root cause analysis Experience with AI observability, tracing, evaluation frameworks, and monitoring tools for LLM-based applications Familiarity with Python or JavaScript for developing complementary automation utilities and AI integrations Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform Knowledge of Docker, Kubernetes, infrastructure monitoring, and cloud-native engineering practices Experience with embedded systems testing, hardware-related test automation, or testbed development
