Staff Software Engineer, Performance- Weights & Biases
Core
Design and lead experiments to improve system scalability and latency for the W&B platform and infrastructure.
Role type
Staff Software Engineer (Performance Engineering)
Builds
Standardized benchmarking and load testing frameworks, performance regression prevention initiatives
Domain
Cloud infrastructure, AI platform, distributed systems
Deliverable
production ML models
Required skills
Go, Python, TypeScript, systems-level debugging, profiling, distributed systems design, load testing, benchmarking, metrics and tracing analysis, CI/CD integration
Preferred skills
SRE at scale, frontend performance monitoring, developer-facing tools, ML infrastructure, open-source contributions
Technologies
Prometheus, Grafana, OpenTelemetry, Datadog, Locust, Gatling, k6
Responsibilities
Diagnose performance issues, design scalable patterns, develop benchmarking frameworks, drive regression prevention, collaborate with product and SRE teams
Seniority
Staff, hands-on IC with strategic influence
