Bruno Scheufler

Senior Distributed Systems Engineer @Inngest

San Francisco, CA, US

Led efforts to redesign the core queue systems architecture and data structures from the ground up, achieving higher fairness at scale- Designed, built, and conducted critical migrations to move critical queueing system state from AWS to bare-metal infrastructure without impacting production workloads- Designed, built, and rolled out custom Kubernetes Operator infrastructure enabling automated, zero-downtime deployments for a critical high-throughout API service with long-lived WebSocket connections and automatic connection draining- Designed sharding for the primary queueing system handling more than 100k operations per second to unlock unlimited horizontal scaling for the next growth stage. Rolled out dedicated queue shards for high-value customer cohorts. Reduced end-to-end processing latencies by two orders of magnitude- Led efforts to improve core queue systems, ensure multi-tenant fairness, and guaranteed capacity for enterprise customers- Designed, built, and rolled out sharding for the primary data store handling more than 50k operations per second without a second of downtime. This reduced timeouts during traffic peaks by 80% and cut volatile request latency from an average 40ms down to 7ms- Designed, built, and rolled out a system-critical coordinator service for the primary data store averaging 250k rpm to production with zero downtime using a percentage-based rollout grouped by different customer cohorts- Supported hiring process for systems engineers, conducting screening calls and interviews.

Y Combinator

Startup School

Technische Universität München

Bachelor of Science - BS