qa engineer (auto) for developer infrastructure

JetBrains creates intelligent software development tools for developers and teams. Its products are used by more than 15 million users and over 300,000 companies to solve complex development problems and improve productivity.

• Evolve the automated testing platform, including frameworks, infrastructure, reporting, and CI/CD chains;
• Identify and fix slow, manual, or fragile parts of the engineering process, including release automation, feedback loops, and test flakiness;
• Integrate AI into the quality workflow for test generation with guardrails, automated failure triage, and self-healing tests;
• Help product teams write and own their tests, review their contributions, and promote solid test design;
• Investigate failures and flakiness across tests and product code and drive them to resolution;
• Participate in all stages of product development, from initial design through release, interacting with internal and external users;
• Lead the technical direction for quality on a large, feature-rich product;
• Mentor colleagues, set technical standards, and share knowledge across teams.

• Advanced skills in Kotlin or Java;
• Solid understanding of object-oriented design and design patterns;
• Hands-on experience building and maintaining test automation for complex, mission-critical backends, web services, or desktop applications;
• Proficiency with TestNG or JUnit;
• Proficiency with Selenium WebDriver, Selenide, or Playwright;
• Experience with Gradle or Maven;
• Experience with Docker or Podman;
• Experience with Allure;
• Command of Git;
• Solid understanding of software testing principles and concurrent programming concepts;
• Proven experience creating internal platform tools or developer-experience improvements that measurably speed up engineering workflows;
• Fluency in spoken and written English;
• Ability to work independently without formal specifications and determine priorities;
• Clear, direct communication skills and the initiative to persuade teams to improve their work;
• Nice to have: Practical curiosity about AI and a clear view of where it genuinely helps and where it falls short.

• Strong base salary and competitive pay reflecting skills and experience;
• Flexible work location with the option to work from home or from the office;
• Up to 30 days per year working remotely from abroad;
• Extra time off;
• Medical insurance allowance for the employee and family;
• Conferences, courses, and language classes;
• Relocation support is available;
• Local language and English classes;
• Hot meal or lunch allowance on workdays;
• Mental health support;
• On-site gym or sports club stipend;
• Internal company events;
• Benefits may vary depending on location.