Software Engineer, Backend
Clay
Job Description
WHAT YOU'LL DO - 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. WHAT YOU'LL BRING - A results-oriented mindset and a bias toward impact - 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 NICE TO HAVES - Diversity of perspectives and interests. We hope to build a team that is curious, and open-minded. - 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 - Advanced proficiency in optimizing serverless workloads on AWS - Experience with our current tech stack: - React, Typescript, Python - AWS services: Aurora (Postgres), Elasticache (Redis), Elastic Container Registry (ECR), ECS (Fargate), Lambda, OpenSearch - IaC: Terraform - Deployment tools: CircleCI, Netlify, Playwright - Observability tools: Cloudwatch, Datadog, Mezmo
Requirements
WHAT YOU'LL BRING - A results-oriented mindset and a bias toward impact - 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 NICE TO HAVES - Diversity of perspectives and interests. We hope to build a team that is curious, and open-minded. - 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 - Advanced proficiency in optimizing serverless workloads on AWS - Experience with our current tech stack: - React, Typescript, Python - AWS services: Aurora (Postgres), Elasticache (Redis), Elastic Container Registry (ECR), ECS (Fargate), Lambda, OpenSearch - IaC: Terraform - Deployment tools: CircleCI, Netlify, Playwright - Observability tools: Cloudwatch, Datadog, Mezmo