QA Automation Engineer (AI-Assisted Quality Engineering)
Required skills
5+ years of QA Automation experience, Experience working in Agile environments, Strong troubleshooting, debugging, and analytical skills, Experience collaborating with engineering teams and stakeholders, Strong English communication skills, Experience supporting modern software delivery processes
Must Haves
Experience building and maintaining automated testing frameworks, Experience testing: Web applications, APIs, Backend services, Experience with: Automated regression testing, Integration testing, End-to-end testing, Experience integrating automated tests into CI/CD pipelines, Experience working with cloud-based applications, Experience supporting microservices-based or distributed systems, Experience using AI-assisted tools within software development or testing workflows
Nice to have
Experience testing .NET applications, Experience testing Angular applications, Experience with Azure environments, Experience with event-driven architectures, Experience with Generative AI technologies, Familiarity with agentic development workflows, Experience validating AI-assisted code generation outputs, Experience in veterinary, healthcare, or regulated industries
Benefits & Perks
Home office;Competitive compensation based on experience;Career plans to allow for extensive growth in the company;International Projects;Oowlish English Program (Technical and Conversational);Oowlish Fitness with Total Pass;Games and Competitions
About the Role
We are looking for an experienced QA Automation Engineer to join a large-scale modernization initiative to transform a legacy platform into a modern cloud-native microservices ecosystem. You will work closely with multiple engineering squads, helping build and maintain automated quality processes that support modern software delivery, cloud-native applications, AI-assisted development workflows, and continuous integration practices. This is not a traditional manual QA role. We are looking for someone who can help build quality into the development lifecycle through automation, scalable testing strategies, and collaboration with engineers working in fast-paced delivery environments
