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Software Engineer, (Full Stack) Product

Job in New York City, Richmond County, New York, USA
Listing for: Clay
Full Time position
Listed on 2026-08-17
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, Software Engineer, DevOps
Job Description & How to Apply Below

Software Engineering, Backend @ Clay

Given our rapid growth over the past couple of years, we often have to solve pressing scaling problems to accommodate the increased load. As a Software Engineer on the Performance team, you'll be responsible for identifying these problems and then developing systems that optimize the throughput and reliability of our core systems. Strong candidates here will have a track record of solving large-scale systems problems and laying the foundation for performance observability.

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, Elastic Search, or Open search
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  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, Open Search
    • IaC:
      Terraform
    • Deployment tools:
      CircleCI, Netlify, Playwright
    • Observability tools:
      Cloudwatch, Datadog, Mezmo
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