5 days ago
Responsibilities
- Help build and improve Kubernetes- and Terraform-based infrastructure across production and customer environments.
- Contribute to tooling and automation that makes infrastructure easier and safer for engineers to deploy and operate.
- Work with cloud infrastructure, networking, and containerized systems.
- Build and improve metrics, logging, tracing, dashboards, and monitoring for production services.
- Investigate performance and reliability issues across distributed systems and AI workloads.
- Support infrastructure for AI inference, data pipelines, and large-scale backend services.
- Participate in code reviews, architecture discussions, and technical problem-solving with experienced engineers.
Requirements
- Be a current undergraduate junior or senior pursuing Computer Science, Machine Learning, Data Science, or a related degree.
- Have strong software engineering fundamentals and programming experience from coursework, internships, research, or personal projects.
- Have experience with a programming language such as Python, Go, Java, C++, or similar.
- Have exposure to or interest in cloud infrastructure, distributed systems, operating systems, networking, or databases.
- Be familiar with or eager to learn Kubernetes, Terraform, Docker, AWS, GCP, Azure, and observability tools.
- Be interested in solving performance, reliability, and scalability problems and taking ownership of technical work.
Benefits
- Winter/Spring co-op runs from January 11, 2027 through April 30, 2027.
- Competitive co-op compensation.
- Hands-on mentorship from experienced AI engineers and researchers.
- Opportunity to work on real production systems used globally.
- Potential return-offer consideration for future internships or full-time roles.
- Daily lunches if onsite.
About Brain Co.
We're building an AI platform and applications for the world's most important institutions. Learn more at https://brain.co/