Software Engineer, Backend at Clay Labs

About ClayClay is a creative tool for growth. Our mission is to help businesses grow without huge investments in tooling or manual labor. Were already helping over 100000 people grow their business with Clay. From local pizza shops to enterprises like Anthropic and Notion our tool lets you instantly translate any idea that you have for growing your company into reality. We believe that modern GTM teams win by finding GTM alpha a unique competitive edge powered by data experimentation and automation. Clay is the platform they use to uncover hidden signals build custom plays and launch faster than their competitors. Were looking for sharp low-ego people to help teams find their GTM alpha.Why is Clay the best place to workCustomers love the product (100K users and growing)Were growing a lot (6x YoY last year and 10x YoY the two years before that)Incredible culture (our customers keep applying to work here)Well-resourced - We raised a $100M Series C in 2025 at a $3.1B valuation and are backed by world-class investors like Capital G (Google) Sequoia and MeritechRead more about why people love working at Clay here and explore our wall of love to learn more about the product.Software Engineering Backend @ ClayGiven 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 youll 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 Youll Do Perform comprehensive analyses of our systems to identify and address performance bottlenecks.Create and monitor meaningful performance metrics for various components of our servicesAdvise 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 Youll BringA results-oriented mindset and a bias toward impactExperience in API latency optimizationExperience with SQL and related technologies preferably PostgresExperience in a role with a focus on performance aspectsExperience in query optimization and schema design for relational databases and distributed search enginesExpertise in any of the following: Redis Postgres ElasticSearch or OpensearchNice To HavesDiversity 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 systemsAdvanced proficiency in optimizing serverless workloads on AWSExperience with our current tech stack:React Typescript PythonAWS services: Aurora (Postgres) Elasticache (Redis) Elastic Container Registry (ECR) ECS (Fargate) Lambda OpenSearchIaC: TerraformDeployment tools: CircleCI Netlify PlaywrightObservability tools: Cloudwatch Datadog Mezmo Key Skills Business Intelligence,Bidding,Accounts Assistant Credit Control,Account Development,Content Development,Lab Testing Employment Type : Full-Time Department / Functional Area: Engineering Experience: years Vacancy: 1