This work spans kernel-space eBPF, user-space Go services, and large-scale distributed systems, operating reliably across diverse Linux kernels, distributions, runtimes, and real-world production environments. The team tackles challenges in protocol evolution, TLS detection across languages and frameworks, and performance-critical data collection at scale.
We are looking for a Staff Engineer who will act as a technical owner and multiplier-driving architecture, influencing the roadmap, and ensuring our APM platform remains robust, scalable, and easy to adopt us and our customers grow.
What Youll Do:
Own major technical areas of the zero-instrumentation APM system, from design through long-term evolution and operational maturity.
Define and drive architecture for kernel-level traffic capture, L7 protocol decoding, and metric extraction using eBPF and Go.
Lead high-impact initiatives addressing protocol parsing, TLS visibility, kernel compatibility, and performance at scale.
Set technical direction and standards for reliability, performance, and maintainability across the team.
Partner cross-functionally with Agent, Tracing, Security, Runtime, and Product teams to align on system design and roadmap priorities.
You have deep experience in backend or systems engineering, with strong proficiency in Go and/or C/C++.
You are comfortable operating close to the Linux kernel, with experience in eBPF, networking, observability, or similarly low-level systems.
You consistently think at a system and organizational scale, making thoughtful tradeoffs between performance, correctness, velocity, and long-term sustainability.
You have built, evolved, or operated large-scale production systems in complex and heterogeneous environments.
You demonstrate technical leadership without relying on authority-you influence architecture, unblock teams, and raise the technical bar through collaboration.
You have a strong bias for performance, efficiency, and reliability, especially in resource-constrained or performance-sensitive contexts.
You thrive in ambiguity and take ownership of ill-defined, high-impact problems.
You are excited to leverage AI-assisted development tools to improve productivity, code quality, and system design – or are eager to learn.
