Tetragon Software Engineering Technical Leader
Job Description
Your Impact:
Tetragon is a flexible, Kubernetes-aware observability and security tool that delivers real-time insights and enforcement. Leveraging the power of eBPF, Tetragon provides low-overhead, in-kernel visibility and intelligence across diverse environments.
As a Technical Leader, you will be at the forefront of advancing Tetragons 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, including Hypershield and Splunk, to create the integration points that transform raw data into actionable insights for enterprise security. In this role, youll 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 youll 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 us in community discussions.
Participate in architecture reviews, code reviews, and documentation.
Requirements: 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.
This position is open to all candidates.