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 our companys 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.
Were building a runtime code sensor that operates where most tools dont: 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. Youll 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.
What Youll Do
Own technical execution end-to-end across customer engagements and internal tooling
Integrate our companys SDK into complex production systems across different environments and stacks
Debug real production issues (performance, reliability, edge cases) and demonstrate our companys value
Build and ship code (primarily in FDE tooling and internal codebases)
Design and implement repeatable agentic workflows, where production signals power automated workflows across the SDLC
Create reusable assets such as playbooks, runbooks, templates, reference architectures, and demo environments
Turn recurring customer pain points into scalable solutions and product improvements
Collaborate closely with Product and Engineering to translate field insights into features and capabilities
Lead technical customer interactions, including calls, debugging sessions, and written communication.
דרישות:
Hard Skills & Experience
6+ years of experience in software engineering, solutions engineering, field engineering, or technical leadership roles
Strong backend engineering fundamentals and production debugging skills
Deep expertise in at least one runtime: Node.js / TypeScript, Python, or Java (JVM)
Experience working within real production systems, including troubleshooting latency, memory issues, regressions, and distributed system failures
Strong understanding of modern backend architectures:
Microservices and distributed systems
Async and event-driven systems
Containers and orchestration (Docker, Kubernetes)
Cloud environments and production reliability challenges
Hands-on experience building or integrating SDKs, devtools, or production-facing components
Strong performance engineering skills (CPU/memory profiling, minimizing overhead)
Ability to design safe, stable, and resilient systems that operate inside customer environments
Full-time, on-site role in Tel Aviv
Ability to thrive in a fast-paced, dynamic startup environment
Engineering Excellence & Mindset
Strong ownership mindset: code quality, reliability, observability, and documentation
Bias to action-build fixes, tools, and workarounds rather than only providing guidance
Ability to anticipate risks, identify bottlenecks, and drive long-term improvements
Comfortable balancing technical trade-offs with product and customer needs
Autonomous, proactive, and capable of leading technical initiatives
Strong communication skills and comfort in customer-facing environments
Nice to Have
Experience with observability, performance monitoring, or developer tooling
Background in SDKs, instrumentation, or in-process production components
Experience designing AI-assisted SDLC workflows (LLM agents, evaluations, guardrails, human-in-the-loop systems)
Familiarity with runtime internals (e.g., event loop, GC, JIT, tracing hooks)
Experience with APM agents, tracing systems, or telemetry pipeli המשרה מיועדת לנשים ולגברים כאחד.