About the Company
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
About the Role
We are looking for an early-career Frontend Engineer to turn complex infrastructure workflows into clear, maintainable user interfaces. You will contribute to production projects from your first weeks, learn alongside experienced engineers, and gradually take ownership of meaningful features.
Responsibilities
- Design and build clear interfaces for complex infrastructure and operational workflows.
- Improve tools that help engineering teams test, release, and monitor services.
- Work with platform, infrastructure, and operations engineers to translate their needs into practical solutions.
- Improve shared build systems, project tooling, libraries, templates, and test automation.
- Make shared tools straightforward for frontend engineers to adopt and use.
- Contribute to standards and documentation that help frontend teams work consistently.
- Implement well-tested features from development through release.
- Write clear, maintainable code and participate in code reviews and technical discussions.
Requirements
- Experience with at least one programming language, preferably TypeScript or Go.
- Experience building user interfaces with React through studies, an internship, personal projects, open-source contributions, or professional work.
- Practical experience with HTML and CSS.
- Experience using Git for version control.
- Strong problem-solving skills, curiosity, and openness to feedback.
- Clear communication skills and the ability to collaborate effectively in a distributed, cross-functional environment.
- Nice-to-haves: Familiarity with automated testing; Knowledge of common programming paradigms; An understanding of how programming languages differ and the trade-offs they make.
Conditions
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams