5 months ago
Remote, Worldwide +4 moreSenior
Responsibilities
- Scale distributed systems to support significantly increased workloads while maintaining performance and reliability.
- Improve system stability and uptime to meet enterprise-grade expectations.
- Optimize AI performance by adapting to new models, hardware, and runtime improvements.
- Expand the platform beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features.
- Build and scale backend systems using Go and Python.
- Collaborate with infrastructure, observability, billing, and AI research teams.
Requirements
- At least five years of professional software development experience.
- Strong software engineering skills, primarily using Python and Go.
- Experience developing web services.
- Experience with CI/CD, version control, and unit testing.
- Extreme rigor in job-related activities is expected.
- Experience with language models or similar NLP technologies is preferred.
- Experience building and delivering products in a dynamic, startup-like environment is preferred.
- Experience developing large distributed systems or high-load web services is preferred.
- Open-source projects demonstrating strong engineering ability are preferred.
Benefits
- Competitive salary and comprehensive benefits package.
- Opportunities for professional growth within Nebius.
- Flexible working arrangements.
- Dynamic and collaborative work environment that values initiative and innovation.
About Nebius
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.