Tetragon Software Engineering Technical Leader

Cisco Systems

Remote

As a Technical Leader, you will be at the forefront of advancing Tetragon’s capabilities. You will guide architectural direction while staying deeply engaged in building the systems that power our platform. Your impact will span designing high-performance data pipelines, optimizing database and distributed system performance, and ensuring massive streams of system events can be ingested, aggregated, and distilled into meaningful intelligence.

You will collaborate closely with teams across Cisco, including Hypershield and Splunk, to create the integration points that transform raw data into actionable insights for enterprise security. In this role, you’ll solve some of the most complex system-level challenges in observability and infrastructure, helping Tetragon evolve to meet the needs of modern cloud-native environments.

What you’ll do

Develop high-quality Go (and eBPF) code for the Tetragon project;
Design and implement new Tetragon features to enhance its capabilities for Runtime security detection and enforcement;
Design and optimize systems for large-scale Tetragon deployment and operation in K8s or VM platforms;
Architect infrastructure that converts raw event data into intelligence streams with minimal performance overhead;
Contribute to open-source projects and represent Cisco Isovalent in community discussions;
Participate in architecture reviews, code reviews, and documentation.

Minimum Qualifications

Bachelors + 8 years of related experience, or Masters + 6 years of related experience, or PhD + 3 years of related experience;
10+ years of experience in systems programming (Go, C, or similar; Tetragon is primarily written in Go);
Experience in building system software in Go (or similar) and/or eBPF;
Experience in system-level development, Linux kernel development, distributed systems, or run-time security systems.

Preferred Qualifications

Knowledge of eBPF for observability or security use cases;
Experience in debugging and optimization with a track record of delivering scalable systems;
Solid background in Linux systems and kernel-level concepts;
Familiarity with Kubernetes and cloud-native environments;
Experience integrating with observability platforms (e.g., Splunk) or SaaS security/analytics systems;
Familiarity with CVE workflows, vulnerability data pipelines, or security event modeling;
Exposure to real-time streaming/aggregation systems and database performance optimization;
Contributions to open-source projects in networking, observability, or distributed systems;
Experience working across diverse, distributed teams.