M
Medal operates a content platform where gamers capture and share gameplay highlights, reaching millions of users daily. The stack reveals a company scaling hard infrastructure: Redis, RabbitMQ, Kubernetes, Elasticsearch, and BigQuery form the backbone, while active projects around world model training, database scaling, and observability indicate they're moving beyond clip hosting into AI-driven features and compute-intensive workloads. Engineering-dominant hiring (9 of 16 open roles) combined with three research positions signals a shift toward algorithmic content discovery and possibly generative replay capabilities.
Tech Stack 65 technologies
Core StackReact Redux JavaScript Node.js Redis RabbitMQ Kubernetes Terraform CircleCI Elasticsearch MySQL PostgreSQL Figma Java Docker BigQuery C# Python PyTorch NumPy Electron Styled Components Salt Unity Unreal Engine C/C++ Triton CUDA GCP Framer+33 more
What Medal Is Building
◆Challenges
- Scaling platform to 100+ million users
- Scaling databases under pressure
- Reliability at massive scale
- Data bottlenecks
- Scaling backend infrastructure
- Supporting growth in users and content volume
- Optimizing performance and cost
- Compute efficiency
- Distributed training
- Reducing operational risk
▲Active Projects
- World model training environments
- Scaling platform to 100+ million users
- Building high-quality features for creators
- Database scaling strategy
- Elasticsearch cluster management
- Observability stack development
- Design system development
- State-of-the-art game recorder
- Auto clipping feature
- Content discovery and notifications
Hiring Activity
15 roles · 9 in 30d
Department
Seniority
Company intelligence
