Software Engineer, Backend

claylabs; New York (NY); On-site; USD 100,000 - 160,000; Full time

Job summary

claylabs is seeking a Backend Software Engineer to identify and solve performance issues in our systems. You will perform analyses, create performance metrics, and address scalability challenges.

The ideal candidate will bring experience in API latency optimization and expertise with technologies like Postgres and Redis. Join our curious team committed to optimizing large-scale systems.

Qualifications

• 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.
• Expertise in Redis, Postgres, ElasticSearch, or OpenSearch.

Responsibilities

• Perform comprehensive analyses of our systems to identify performance bottlenecks.
• Create and monitor meaningful performance metrics for our services.
• Advise engineering teams on scalable feature design.
• Address critical scalability challenges.
• Work on optimizing serverless workloads on AWS.

Skills

API latency optimization

SQL

Redis

Postgres

ElasticSearch

Performance optimization

Tools

AWS services

React

Typescript

Python

Terraform

CircleCI

Cloudwatch

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