This role is a great fit for engineers who thrive on low-level, performance-sensitive problems, and want to shape the future of observability through cutting-edge kernel technology.
At our company, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What Youll Do:
Design and build core components of our zero-instrumentation APM product using eBPF and Go
Develop systems to auto-discover services, classify L7 protocols, and extract RED metrics from both plaintext and TLS traffic
Solve complex challenges around protocol parsing, encryption handling, and performance at the kernel level
Ensure broad compatibility across Linux kernel versions, distributions, and diverse customer environments
Collaborate across teams to drive technical direction, improve reliability, and scale the system for production use
Requirements: Who You Are:
You have significant experience in backend or systems-level development, with strong proficiency in Go or similar languages (C/C++)
Youre comfortable working close to the Linux kernel and have experience (or interest) in eBPF, networking, or observability tooling
You care deeply about performance and efficiency
Youve built or operated scalable systems in complex environments and understand how to design for reliability and compatibility
You thrive in a fast-paced, technically deep environment, and are excited to solve hard problems with a small, focused team
Youre excited about leveraging AI tools to enhance how you code, solve problems, and build - or eager to learn how
You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
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.