• Design, build, and scale our Reinforcement Learning Environments (RLE) platform and the infrastructure that powers it

• Partner closely with Engineering, Research, Product, and Operations teams in the US to execute against a shared roadmap

• Design and implement scalable backend services and data generation pipelines

• Build modular environment domains that integrate seamlessly with model training and evaluation workflows

• Improve platform reliability, observability, performance, and developer productivity

• Participate in technical design discussions and contribute to architecture decisions

• Write high-quality, maintainable code while helping improve engineering standards and best practices

What We're Looking For

• 6+ years of professional software engineering experience building backend systems, distributed systems, or platform infrastructure

• Strong proficiency with TypeScript, React, and modern backend architectures

• Strong understanding of PostgreSQL, data modeling, distributed systems, and system design

• Experience building and operating production systems on AWS or GCP

• Strong problem-solving skills and the ability to thrive in fast-moving, ambiguous environments

  • Experience collaborating effectively with globally distributed engineering teams, including teams based in the US