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Clay is experiencing rapid growth, leading to pressing scaling problems that need to be addressed to accommodate increased load. The company needs to identify and solve these problems to optimize the throughput and reliability of their core systems.

Requirements

• Experience in API latency optimization
• Experience with SQL and related technologies, preferably Postgres
• Experience in a role with a focus on performance aspects
• Experience in query optimization and schema design for relational databases and distributed search engines
• Expertise in any of the following: Redis, Postgres, ElasticSearch, or Opensearch
• Advanced proficiency in optimizing serverless workloads on AWS
• Experience working with systems & data at scale. May be building large-scale high-performance data pipelines, event ingestion systems, or generally working with larger production systems

Responsibilities

• Perform comprehensive analyses of our systems to identify and address performance bottlenecks.
• Create and monitor meaningful performance metrics for various components of our services
• Advise other teams within engineering on scalable and performant feature design and implementation
• Address critical scalability challenges such as sharding Postgres and Redis, splitting ECS tasks into multiple services to scale independently, and addressing Node event loop blockages.

Other

• A results-oriented mindset and a bias toward impact
• Diversity of perspectives and interests. We hope to build a team that is curious, and open-minded.