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Cal.com logo
Cal.com

Modern, fully customizable scheduling platform

Scale Engineer

EngineerEngineerOtherRemoteLeadTeam 11-50Since 2021H1B No SponsorCompany SiteLinkedIn

Location

New York

Posted

86 days ago

Salary

$132K / year

Seniority

Lead

Bachelor Degree8 yrs expEnglishGrafanaJavaScriptNext.jsPostgreSQLRedis

Job Description

Scale Engineer

Cal.com

• Audit and optimize Prisma queries across the codebase, removing N+1 queries, excessive includes, and inefficient data access patterns • Design and implement PostgreSQL indexing strategies for very large tables that will scale to hundreds of millions of rows • Build query performance monitoring and alerting using Grafana, Axiom, and Sentry to detect slow queries early • Implement and manage read replicas across multiple regions to reduce global latency • Deploy and manage globally distributed serverless functions on Vercel connected to localized read replicas • Design multi layer caching strategies using CDN caching, application caching, and query caching with Cloudflare and in memory systems • Establish connection pooling and query optimization patterns that scale during traffic spikes • Rebuild our application telemetry to have detailed insights into our code’s performance • Create runbooks and automated responses for common performance degradation scenarios • Partner with SRE to define and maintain SLOs and SLIs for database and API performance • Conduct regular performance audits and capacity planning exercises

Job Requirements

  • 8+ Years of experience
  • Deep expertise in PostgreSQL performance tuning, indexing, and query optimization at scale
  • Extensive experience with Prisma ORM and its query generation behavior
  • Strong experience running production systems on Vercel serverless infrastructure
  • Experience implementing read replicas and high availability database strategies
  • Strong knowledge of CDN and edge caching configuration with Cloudflare
  • Hands on experience with observability tooling including Grafana, Axiom, Sentry, and synthetic monitoring
  • Production experience with Next.js and NestJS
  • Strong understanding of connection pooling, batching, and database connection management
  • Experience building alerting systems that detect performance regressions early
  • Experience with zero downtime database migration strategies
  • Knowledge of edge computing and Vercel Edge Functions
  • Experience with distributed caching systems such as Redis or Memcached
  • Familiarity with load testing tools and performance testing methodologies
  • Experience optimizing cloud infrastructure cost versus performance
  • Ability to work in the Americas timezones

Benefits

  • 30 paid OOO days per year (wherever you are in the world)
  • Yearly team retreats in beautiful locations
  • People-first culture, stable, family-friendly, kind

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