•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
