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 and our customers grow.
Staff Engineers are expected to deliver impact through technical leadership, not just individual contribution. This role offers the opportunity to shape a foundational observability product used at massive scale.
operates as a hybrid workplace, valuing in-person collaboration while supporting work-life balance.
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
Requirements: 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
You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
Bonus: youre motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.
This position is open to all candidates.