About Nebius:
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.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Location: Amsterdam
Duration: 3 months
Start date: January 2027
Compensation: Paid
Eligibility: Current University student (Computer Science or related field), Recent Graduate or Early Career specialist
Work authorization: Permitted to work in the job’s location
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.
About the team
We improve developer experience at Nebius in two complementary areas:
- Developer services: products and interfaces used by engineering teams across the company and, in some cases, by cloud customers.
- Frontend infrastructure: shared foundations and tooling used across our frontend codebase.
Our users are Nebius engineers and cloud customers. We prioritize usability and reliability in everything we build.
Your responsibilities:
Developer services
- 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.
Frontend infrastructure
- 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.
Across both areas
- Implement well-tested features from development through release.
- Write clear, maintainable code and participate in code reviews and technical discussions.
Must-haves:
- 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.
Benefits & Perks:
- 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
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
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.
If you need accommodations during the application process, please let us know.
Skills Required
- Experience with at least one programming language, preferably TypeScript or Go
- Experience building user interfaces with React through studies, internships, 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 and effective collaboration in a distributed, cross-functional environment
- Familiarity with automated testing
- Knowledge of common programming paradigms
- Understanding of differences between programming languages and their trade-offs
- Current university student in Computer Science or a related field, recent graduate, or early-career specialist
- Permitted to work in the job's location
Nebius Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nebius and has not been reviewed or approved by Nebius.
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Fair & Transparent Compensation — Pay is considered competitive or good across many roles, with overall sentiment leaning positive. While experiences vary by team and location, compensation frequently stands out as a strength.
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Flexible Benefits — Work arrangements are described as remote-friendly with hybrid options and flexibility across time zones. Some roles reference home-office stipends that support distributed work.
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Healthcare Strength — Company materials and job postings describe comprehensive employer-paid medical, dental, and vision coverage for employees and families. Details may vary by country and entity.
Nebius Insights
What We Do
Cloud platform specifically designed to train AI models
