Job description

<h2>About Hud</h2>Hud enables top engineering teams to monitor and resolve production issues faster and with minimal manual effort. By automatically collecting the full context required to debug and fix issues, Hud allows engineers (and AI agents) to move seamlessly from detection to resolution.Our SDK captures 100% of function-level performance data and dynamically gathers deeper context when issues arise—empowering intelligent agents to reason about and solve production problems.Hud is trusted by leading engineering teams such as monday.com, Drata, Axonius, and Cyera. We are a fast-growing, AI-native startup that moves quickly and ships continuously. <h2>About the Role</h2>This is a hybrid role combining hands-on software engineering, deep production debugging, and direct customer engagement.You will work directly inside customer production systems, integrating Hud’s SDK, solving real-world issues, and shaping how our product is used in practice. At the same time, you will translate field learnings into scalable product improvements and reusable systems.We’re building a runtime code sensor that operates where most tools don’t: inside running applications. Our goal is to give engineers and AI agents real-time, high-fidelity visibility into how code behaves in production—under real load, real traffic, and real failures.This role blends deep systems engineering with applied, real-world problem solving. You’ll navigate complex production environments, explore runtime behavior, and design low-overhead solutions that are safe, reliable, and production-ready.If you enjoy breaking (and fixing) complex systems, working closely with customers, and building tools that engineers trust in their most critical services—this role is for you.