Max V.
Senior Software Qa Automation Engineer @Benivo
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WORK HISTORY
Senior Software Qa Automation Engineer @Benivo
London, GB
EDUCATION
National Technical University of Ukraine 'Kyiv Polytechnic Institute'
Bachelor of Science, Computer Engineering, Computer Programming
National Technical University of Ukraine 'Kyiv Polytechnic Institute'
Specialist of Science, Testing and Development, Computer Systems, Computer Programming
ABOUT MAX V.
Lead Software QA Engineer with 15+ years of experience helping engineering teams release faster by embedding quality into every stage of the development process. I focus on building test automation-first strategies, coaching engineering teams, and optimising test architecture to speed up delivery while maintaining high product standards.I specialise in Test Automation Leadership, Shift-Left QA, and building a quality-first engineering culture, working closely with QA and development teams to embed testing into delivery workflows, scale test infrastructure and spread quality-first thinking across organisations.Throughout my career, I’ve delivered impact across a range of challenges- Led and mentored QA teams (up to 15 engineers), redesigned automation frameworks, and introduced optimisations that significantly reduced release cycles while keeping product quality high- Coached developers, implemented pair testing, and reviewed architecture to help the entire engineering team deliver faster- Drove quality improvements across cross-functional squads by embedding scalable testing strategies, turning them into high-performing teams aligned around product quality and business goals.Technical Skills:C#, TypeScript, Playwright, Cypress, Selenium, REST API.NET, Node.js, K6, JMeter, Postman, DevOps, TestOps, Docker, Azure, AWS, GitHub Actions, TeamCity, Test ArchitectureKey Achievements- Reduced release time by 80% through early QA involvement and automation-first strategies- Cut test suite runtime by 30% with architecture redesign and test pyramid optimisation- Enabled faster, more confident delivery by aligning QA with product and engineering KPIsCurrently exploring Generative AI in QA: LLM integration, prompt engineering, and GPT-based tooling for intelligent testing, documentation, and productivity.
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