qa engineer (auto) in blockchain

Описания нет

• Design, develop, and maintain automated tests for backend/API and frontend services and data-processing systems in the blockchain domain, including API, integration, contract, and data validation coverage
• Create reliable test coverage for edge cases such as missing data, delayed data, and incorrect calculations
• Analyze failed tests and production-like issues using logs, metrics, monitoring dashboards, and API responses
• Conduct code reviews
• Pioneer approaches, architectures, or frameworks that drive the business forward
• Plan long-term system improvements, make high-level trade-offs across projects, and establish technical vision
• Prioritize testing based on business needs, project risks, and delivery timelines
• Identify process improvements and implement QA best practices
• Evaluate and drive adoption of AI tools for QA and development workflows, including AI-assisted test generation, code review, and automation frameworks
• Define best practices and guidelines for using AI tools in the QA process and help the team integrate them effectively
• Collaborate with developers, business stakeholders, and cross-functional teams to improve service testability, observability, and reliability
• Maintain test documentation, automation coverage notes, and clear defect reports

• 5+ Years of AQA/SDET experience testing complex backend, API, data-heavy, or distributed systems
• Deep understanding of SOLID principles and design patterns, with hands-on experience applying them to test frameworks
• Solid SQL and PostgreSQL experience, including advanced queries, data validation, and investigation of data inconsistencies
• Strong test design skills
• Understanding of backend architecture, environment-based configuration, service health checks, and deployment validation
• Strong Java programming skills for test automation
• Hands-on experience with test automation tools and frameworks such as Playwright, Postman, REST-assured or similar for API testing, and Allure for reporting
• Experience with version control systems (GIT)
• Experience working in Scrum or another Agile delivery process
• Hands-on experience with AI-assisted development tools such as Cursor and Claude, including creating custom skills, agents, and rules to support QA/development workflows
• Hands-on experience with AI no-code tools and business process automation such as n8n
• Proficiency in English
• Будет плюсом: QA technical leadership experience, performance testing experience, Python knowledge

• Условий в вакансии нет