27 days ago
Base Salary
$170k - $300k/yr
Responsibilities
- Analyze systems comprehensively to identify and resolve performance bottlenecks.
- Create and monitor meaningful performance metrics for service components.
- Advise engineering teams on scalable and performant feature design and implementation.
- Solve scalability challenges including sharding Postgres and Redis, splitting ECS tasks into independently scalable services, and addressing Node event loop blockages.
- Develop systems that improve the throughput, reliability, and performance observability of Clay’s core systems.
Requirements
- Experience optimizing API latency and working with SQL and related technologies, preferably Postgres.
- Experience in a performance-focused engineering role, including query optimization and schema design for relational databases and distributed search engines.
- Expertise in at least one of Redis, Postgres, Elasticsearch, or OpenSearch.
- Experience working with systems and data at scale, such as high-performance data pipelines, event ingestion systems, or large production systems, is preferred.
- Advanced proficiency optimizing serverless workloads on AWS is preferred.
- Experience with React, TypeScript, Python, AWS services, Terraform, CircleCI, Netlify, Playwright, CloudWatch, Datadog, or Mezmo is preferred.
- A results-oriented, impact-focused, curious, and open-minded approach is expected.
Benefits
- Access to free coaching from world-class coaches specializing in creativity, management, and more.
Tech Stack
Categories
About Clay Labs
Clay Labs builds a go-to-market data and automation platform that lets revenue teams discover prospects, enrich records from many providers, and personalize multichannel outreach. Delivered as a SaaS product with APIs and a data marketplace, it serves sales, marketing, and growth teams at startups and enterprises. The privately held company is headquartered in New York and is backed by investors including Sequoia Capital and CapitalG.