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Clay

Software Engineer, Backend (Infrastructure & Platform)

New York (Remote)$170k–$300kfulltimemidAdded today

About this role

Clay seeks a Backend Software Engineer to build and maintain the infrastructure and platform systems powering its AI-driven growth platform. You'll own execution engines, scheduling, data storage, and shared foundations that enable product teams to scale reliably while handling millions of customer workflows.

What you'll do

  • Design and optimize distributed systems for scale, reliability, and performance under increasing concurrency
  • Build platform primitives and abstractions that product teams extend rather than fork
  • Own execution and orchestration systems including work scheduling, retries, and observability
  • Solve database contention, memory pressure, and throughput bottlenecks
  • Implement comprehensive instrumentation and logging for system visibility at scale
  • Handle integration challenges and edge cases between platform components

What they're looking for

  • Backend systems design and distributed systems
  • Database optimization and handling high concurrency
  • Orchestration and job scheduling systems
  • Observability, instrumentation, and monitoring
  • Performance optimization and scalability
  • API design and platform abstractions
  • System reliability and fault tolerance
  • Profiling and debugging at scale

Benefits

  • Work on foundational systems impacting thousands of customers
  • Access to world-class creativity and management coaching
  • Collaborative culture valuing diverse backgrounds and perspectives
  • Equity participation in a $5B+ valuation company
  • Located in New York with flexible work arrangements
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Clay

Clay builds go-to-market and developer experience infrastructure, including automation workflows, sales tools, and web experiences that help teams acquire customers and improve efficiency. The company is hiring GTM Engineers to build internal systems and automations, Web Developers to create conversion-focused experiences, and Software Engineers to improve developer tooling and AI integration.

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Likely interview questions

  • Describe a time you optimized a system under high concurrency—what bottleneck did you identify and how did you resolve it?
  • How would you design a work execution and scheduling system that evolves without breaking existing workflows?
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