QA Automation Engineer

Gcore is a global provider of infrastructure and software solutions for AI, cloud, network, and security. They operate 210+ edge locations, 50+ cloud regions, and thousands of GPUs, collaborating with technology partners such as Intel, NVIDIA, Dell, and Equinix. The company employs over 550 professionals building infrastructure and software supporting the global digital ecosystem.

• 3+ years of experience in QA Automation (Middle) or 5+ years (Senior)
• Strong Python programming skills
• Experience developing and maintaining automated test frameworks
• Solid understanding of software testing methodologies, QA processes, and test design techniques
• Strong Linux administration and troubleshooting skills
• Practical experience with Docker and containerized environments
• Experience working with CI/CD systems (GitLab CI, Jenkins, GitHub Actions, or similar)
• Understanding of networking fundamentals including TCP/IP, DNS, HTTP/HTTPS, TLS, REST APIs, and client-server architecture
• Experience with API testing, UI testing, and backend validation
• Ability to read and work with technical documentation in English
• Ability to effectively leverage AI agents for code generation, debugging, test development, log analysis, and productivity improvements
• Experience using LLMs to accelerate test case creation, automation development, and incident investigation

• Design, develop, and maintain automated test suites for backend services and APIs
• Improve test automation framework and supporting infrastructure
• Create and maintain internal automation tools and utilities
• Design and implement scalable test automation solutions
• Integrate automated testing into CI/CD pipelines
• Analyze test results, investigate failures, and perform root cause analysis
• Collaborate closely with developers, DevOps engineers, and product teams to improve product quality
• Participate in code reviews and establish automation best practices
• Contribute to quality strategy and continuous improvement initiatives
• Evaluate and adopt modern engineering tools and practices, including AI-assisted development workflows

This position is available only under an employment (labor) agreement.