Staff Performance Engineer: Scalable Systems & Observability

Weights & Biases; Oregon; Hybrid; USD 188,000 - 275,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Paid Parental Leave

Flexible PTO

Catered lunch in office

Equity

Tuition Reimbursement

Mental health benefits

Casual work environment

Job summary

Weights & Biases is seeking a Staff Engineer on the Performance Engineering team to own complex performance challenges across the platform and infrastructure. You will design experiments to improve scalability and latency, develop load-testing frameworks, and drive regression-prevention initiatives.

You will collaborate with product, infrastructure, and SRE teams, bringing deep technical expertise and a holistic view of system behavior.

Qualifications

• 8+ years of software engineering experience with at least 2 years in performance optimization/scalability/observability.
• Proficiency in Go, Python, or TypeScript with strong debugging/profiling skills.
• Deep understanding of distributed systems and their performance implications.
• Experience designing and implementing load testing or benchmarking frameworks (Locust/Gatling/k6 or custom).
• Familiarity with metrics/tracing systems (Prometheus, Grafana, OpenTelemetry, Datadog).
• Experience integrating performance measurement into CI/CD pipelines.
• Ability to design experiments, analyze large datasets, and draw actionable conclusions.
• Proven track record driving cross-functional technical initiatives from design through adoption.

Responsibilities

• Take technical ownership of performance challenges across the platform and infrastructure.
• Design and lead experiments to improve scalability and latency.
• Develop benchmarking and load testing frameworks; drive regression-prevention initiatives.
• Collaborate with product, infrastructure, and SRE teams to improve system behavior.
• Blend investigation, architecture, and enablement to help teams measure and improve performance.

Skills

Go

Python

TypeScript

Distributed systems concepts

Performance measurement

CI/CD integration

Experiment design

Cross-functional collaboration

Tools

Locust

Gatling

k6

Prometheus

Grafana

OpenTelemetry

Datadog

Job description

Weights & Biases is seeking a Staff Engineer on the Performance Engineering team to own complex performance challenges across the platform and infrastructure. You will design experiments to improve scalability and latency, develop load-testing frameworks, and drive regression-prevention initiatives.

You will collaborate with product, infrastructure, and SRE teams, bringing deep technical expertise and a holistic view of system behavior.