Senior Frontend Engineer, Performance

ClickUp ClickUp · Enterprise · United States · Engineering

Senior Frontend Engineer focused on optimizing the performance of ClickUp's AI-powered workspace, which unifies tasks, docs, chat, calendar, and enterprise search. The role involves leading root cause analysis, profiling code, setting up monitoring, and advocating for performance best practices across the platform.

What you'd actually do

  1. Lead root cause analysis on client performance issues and conduct post-mortems.
  2. Profile application code to isolate inefficient algorithms, memory leaks, and other issues; recommend and implement fixes.
  3. Set up performance monitoring, alerting, and dashboards to proactively identify and resolve client performance problems.
  4. Analyze client traffic patterns, load testing results, and other metrics to establish benchmarks and drive improvements.
  5. Advocate for performance best practices and set client performance standards across the engineering organization.

Skills

Required

  • 8+ years of experience in performance engineering or a related field
  • Expertise with profiling tools for browsers and NodeJS
  • Deep knowledge of performance metrics, reporting, and analysis across the full stack
  • Strong analytical skills with the ability to interpret metrics, logs, and load test results
  • Strong background in performance engineering, including bottleneck analysis and root cause identification.
  • Advanced understanding of web/mobile architectures, HTTP protocols, caching, databases, and load balancing
  • Proven problem-solving skills and a passion for optimizing client experiences
  • Experience optimizing SQL and databases
  • Fluency in data structure and algorithm optimization

Nice to have

  • APM and RUM tooling (Datadog RUM/APM/DBM or similar)
  • AWS, Kubernetes, CDN technologies
  • PostgreSQL, RDS/Aurora, DynamoDB (or comparable systems)
  • TypeScript and modern JavaScript frameworks
  • Performance testing frameworks and tools (for example Locust, memlab, or equivalents)
  • Python (or another scripting language used for automation/tooling)

What the JD emphasized

  • performance engineering
  • client performance