Staff Software Engineer

US-CA-Menlo Park · US-WA-Bellevue · 8+ years experience · Full-time · Hybrid · Posted Sep 26, 2026

At a glance

Snowflake is seeking a Staff Software Engineer for the Apps & Experiences organization to define and drive the web performance strategy for Snowsight.
This high-leverage role involves owning strategy, building tooling, and driving culture to ensure Snowsight remains fast while partnering across platform and product teams.

Define and drive the web performance strategy for Snowsight, setting goals grounded in real user metrics.
Build and maintain performance infrastructure including RUM/synthetic monitoring pipelines, regression detection in CI, bundle analysis, performance dashboards, and alerting.
Identify and fix systemic performance bottlenecks across the application lifecycle.
Optimize build and delivery by working on bundle size, tree-shaking, chunk splitting strategies, CDN caching, and resource prioritization.
Establish performance budgets and guardrails integrated into CI/CD so regressions are caught before shipping.
Partner with product teams to design performance-aware architectures for new features and provide guidance on data-fetching patterns, rendering strategies, and progressive loading.
Mentor engineers across the organization on performance best practices, conduct reviews of critical performance paths, and build a performance-focused culture.
Represent Snowflake's frontend performance perspective in cross-org architectural decisions where frontend impact is significant.

8+ years of software engineering experience, with deep expertise in web performance for large-scale, complex web applications.
Expert-level JavaScript/TypeScript and React knowledge, including React rendering internals and experience diagnosing and resolving performance issues in large React codebases.
Strong understanding of browser performance fundamentals such as the critical rendering path, layout/paint/composite pipeline, main-thread scheduling, Web Workers, and browser DevTools/Performance panel profiling.
Experience designing and operating RUM and synthetic performance monitoring at scale.
Deep knowledge of build tooling and delivery optimization including Webpack/Vite/Bazel, code splitting, tree-shaking, chunk strategies, lazy loading, CDN behavior, caching headers, and resource hints.
Experience with large dataset rendering like virtualization, canvas/WebGL rendering for grids or charts, streaming/incremental rendering, and efficient DOM management.
Strong communication and influence skills to set technical direction, build consensus, and explain performance trade-offs.
Experience working in a platform or infrastructure role where customers are other engineering teams.
Ability to work on-site at the Bellevue, WA or Menlo Park, CA offices.

Familiarity with server-side rendering, streaming SSR, or edge rendering patterns and their performance implications.
Familiarity with browser engines or internals such as V8, Chromium, or Webkit.
Contributions to web performance standards, browser APIs, or open-source performance tooling.
Experience with observability platforms like Datadog or Grafana, and building internal performance tooling.
Background in data-intensive UIs including query editors, result grids, dashboards, notebooks, or similar products.