Forward Deployed Engineer

About Hud

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.

About the Rol

eThis 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

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Hard Skills & Experien

• ce6+ years of experience in software engineering, solutions engineering, field engineering, or technical leadership rol
• esStrong backend engineering fundamentals and production debugging skil
• lsDeep expertise in at least one runtime: Node.js / TypeScript, Python, or Java (JV
• M)Experience working within real production systems, including troubleshooting latency, memory issues, regressions, and distributed system failur
• esStrong understanding of modern backend architecture
• s:Microservices and distributed syste
• msAsync and event-driven syste
• msContainers and orchestration (Docker, Kubernete
• s)Cloud environments and production reliability challeng
• esHands-on experience building or integrating SDKs, devtools, or production-facing componen
• tsStrong performance engineering skills (CPU/memory profiling, minimizing overhea
• d)Ability to design safe, stable, and resilient systems that operate inside customer environmen
• tsFull-time, on-site role in Tel Av
• ivAbility to thrive in a fast-paced, dynamic startup environme

ntEngineering Excellence & Minds

• etStrong ownership mindset: code quality, reliability, observability, and documentati
• onBias to action—build fixes, tools, and workarounds rather than only providing guidan
• ceAbility to anticipate risks, identify bottlenecks, and drive long-term improvemen
• tsComfortable balancing technical trade-offs with product and customer nee
• dsAutonomous, proactive, and capable of leading technical initiativ
• esStrong communication skills and comfort in customer-facing environmen

tsNice to Ha

• veExperience with observability, performance monitoring, or developer tooli
• ngBackground in SDKs, instrumentation, or in-process production componen
• tsExperience designing AI-assisted SDLC workflows (LLM agents, evaluations, guardrails, human-in-the-loop system
• s)Familiarity with runtime internals (e.g., event loop, GC, JIT, tracing hook
• s)Experience with APM agents, tracing systems, or telemetry pipelin
• esExposure to low-overhead instrumentation techniques (sampling, bytecode manipulation, eBP
• F)Previous customer-facing technical roles such as FDE, Solutions Engineering, or Sales Engineeri

ng
Why You Should J

• oinHigh-impact role – Play a critical role in how customers adopt and extract value from
• HudShape the product – Turn real-world production challenges into product capabilit
• iesBuild from zero to one – Define workflows, playbooks, and systems for this funct
• ionWork at the frontier of AI + production systems – Help define how production signals power agentic workfl
• owsFast-moving environment – Ship constantly, iterate quickly, and take real owners