• Lead development of complex features and services across the stack. • Design, implement, and optimize scalable software architectures. • Mentor and support mid-level engineers through code reviews and technical guidance. • Define and enforce best practices in coding, testing, and deployment. • Partner with Product Managers and Designers to translate requirements into technical solutions. • Enhance observability, reliability, and performance of production systems. • Drive adoption of modern tools, frameworks, and cloud technologies. • May serve as a technical lead for projects or initiatives.

• Develop and maintain high-complexity solutions using VueJS, Ruby on Rails and Go, participating from design and architecture through deployment and maintenance, ensuring performance, scalability and the application of principles such as Clean Code and Design Patterns. • Work autonomously in planning and executing projects, propose continuous improvements to development processes, and actively collaborate with Product Managers and Designers to define and prioritize features. • Actively participate in the team's agile ceremonies, maintaining clear and assertive communication with stakeholders and adjacent areas to help remove impediments and ensure technical alignment of deliveries. • Digital mindset, curiosity about new technologies, and interest in understanding how Artificial Intelligence can transform processes, experiences and outcomes.

• Design and implement user interfaces for AI-powered features integrated into JetBrains IDEs. • Build UI components using Compose Multiplatform for desktop and Swing. • Collaborate closely with designers to create intuitive, responsive, and polished developer experiences. • Contribute to improving UI architecture and component reuse within the product. • Help ensure the UI remains responsive and performant inside complex desktop applications.

• Integrate state-of-the-art AI agents into our IDEs, continuously improving the developer experience of working with them. • Enhance agent capabilities by equipping them with the most intelligent tools available in our IDEs. • Create novel AI features with no direct market analogues, experimenting with and exploring the new possibilities brought by modern AI technologies. • Measure and evaluate the performance of agents and other AI features to achieve reliability and reproducibility.