Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Docker @ 4
Linux @ 7
TypeScript @ 7
Communication @ 7
JavaScript @ 7
Networking @ 4
React @ 4
GPU @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment. The Frontend Engineer - User Interface will join a small, focused frontend engineering team responsible for building internal interfaces that power Nebius’s GPU cloud and data center operations. This role focuses on developing reliable, scalable user interfaces for infrastructure-heavy environments and works closely with infrastructure, operations, and platform engineering teams.
Responsibilities
- Design and develop internal web applications that automate data center and infrastructure operations.
- Build user interfaces for server management, network operations, deployment workflows, and logistics processes.
- Collaborate with infrastructure, operations, and platform engineering teams to translate operational requirements into scalable frontend solutions.
- Improve reliability, usability, and operational efficiency across internal tooling platforms.
- Work with European-based frontend engineers to align on architecture, standards, and development practices.
- Support deployment and operational workflows across GPU cloud infrastructure environments.
- Contribute to frontend architecture decisions, component design, and long-term maintainability of internal systems.
- Participate in code reviews, technical discussions, and continuous improvement initiatives.
Requirements
- Strong experience with JavaScript and/or TypeScript.
- Hands-on experience building modern frontend applications using React.
- Experience working with Docker and containerized development environments.
- Strong Linux knowledge and command-line proficiency.
- Experience supporting, deploying, or troubleshooting applications in production infrastructure environments.
- Strong problem-solving skills and the ability to operate independently in high-responsibility environments.
- Ability to collaborate effectively across distributed teams and time zones.
- A proactive, ownership-driven mindset with strong communication skills.
Nice to have
- Experience with frontend state management libraries and patterns.
- Background working in infrastructure, cloud, or data center environments.
- Familiarity with deployment automation or operational tooling.
- Experience building internal developer- or operations-focused platforms.
Compensation
- Compensation range: $122,880 — $184,320 USD per year.
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
About Nebius
Nebius is listed on Nasdaq (NBIS) and headquartered in Amsterdam with R&D hubs across Europe, the UK, North America, and Israel. The company focuses on large-scale GPU orchestration, inference optimization, and solving problems across compute, storage, networking, and applied AI. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.