Responsibilities:

📍Lead the architecture design and core R&D of cloud-native observability, networking, and security products based on eBPF technology. 📍Spearhead kernel-level data collection using eBPF, including but not limited to network traffic, syscalls, and performance events (profiling), and build high-performance data processing pipelines. 📍Conduct in-depth research on the application of eBPF in observability, designing and implementing non-intrusive solutions for distributed tracing, metrics monitoring, and continuous profiling. 📍Explore the application of eBPF in high-performance networking, such as kernel network acceleration, load balancing, and traffic scheduling, and integrate with projects like K8s CNI to provide innovative container networking solutions. 📍Be responsible for the performance optimization and stability of the eBPF agent, addressing compatibility, security, and resource consumption issues across different kernel versions. 📍Track the latest developments in eBPF and related open-source communities (e.g., Cilium, Falco, Pixie), translating cutting-edge technologies into product capabilities to maintain the company's leadership in underlying cloud-native technologies. 📍Act as a technical evangelist in the eBPF domain, responsible for overcoming technical challenges, knowledge sharing, and providing professional training and guidance to the team.

Qualifications:

📍Bachelor's degree or higher in Computer Science or a related field, with 8+ years of experience in low-level software or systems development. 📍Proficient in C/C++ or Rust, and skilled in using Golang for developing upper-level control planes or data processing applications. 📍Rich theoretical knowledge and practical experience with eBPF/BPF, familiar with the entire lifecycle of eBPF program development, loading, and verification. Experience with development libraries/frameworks like BCC, libbpf, or Cilium/ebpf is required. 📍In-depth understanding of the Linux kernel, with deep research into at least one module such as the network stack, file system, or process scheduler.

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