Backend Engineer - US

Conduct • New York City, NY

5d • Remote

About The Position

We're looking for exceptional builders who help us design and ship the foundational infrastructure that lets Conduct scale to the world's largest enterprises, while accelerating the product teams building on top of it. The world's largest companies are slowed down by the software they run on. We’re building the AI operating system that absorbs IT complexity and unlocks entirely new levels of speed, output, and ambition. We believe this is a generation-defining mission. Major enterprises already trust us with their most critical systems, we just closed a $60M Series A from top-tier funds, and we're still early enough that what you build here defines the company. We're a small, talent-dense team doing our life's work at Conduct - we value extreme ownership, high velocity, and low-ego collaboration. If you bring that same drive, we will make sure this is the place you do yours too.

Requirements

• 3+ years of backend experience with exposure to platform or infrastructure work.
• Experience with systems that have scaled from MVP to production-grade.
• Strong system design instincts and ability to own problems end-to-end across APIs, infrastructure, and data flows.
• Experience with distributed systems, scaling databases (postgres), queueing, and large-scale batch processing.
• Understanding of how to benchmark and tune systems under real load, and make pragmatic trade-offs when data is ambiguous.
• Familiarity with LLM infrastructure at scale.
• Ability to raise the bar around you through code, mentorship, and better systems, and fix problems without waiting for permission.

Responsibilities

• Design and ship the foundational infrastructure that lets Conduct scale to the world's largest enterprises.
• Accelerate product teams by building the platform that lets engineers focus on product, not plumbing: shared abstractions, sensible defaults, internal tooling that compounds.
• Design and maintain infrastructure that meets stringent enterprise reliability requirements and doesn't become fragile as we grow.
• Make LLM infrastructure reliable, handling high token throughput, real-time usage, and flaky providers.
• Build systems that are well-designed from the start and don't need to be rebuilt later, covering areas like auth, observability, and job orchestration.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed