Software Engineer, (Full Stack) Product

Clay Labs

$130K — $155K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in backend software engineering
  • Strong background in optimizing API latency
  • Proficient with SQL technologies, especially Postgres
  • Experience focused on performance improvement in production systems
  • Familiarity with query optimization in relational databases and search engines
  • Expertise with technologies like Redis, Postgres, ElasticSearch or Opensearch

Responsibilities

  • Analyze systems to uncover and resolve performance bottlenecks.
  • Develop and track performance metrics for system components.
  • Provide guidance on performant feature design to engineering teams.
  • Tackle scalability challenges including sharding databases and optimizing service tasks.
  • Implement solutions to prevent Node.js event loop occurrences.

Benefits

  • Supportive and open-minded team culture
  • Opportunities for professional growth in a rapidly scaling environment
  • Engage in diverse, impactful projects across the tech stack
  • Flexible work arrangements
  • Access to modern development tools and technologies
Full Job Description
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, 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

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