Senior Software Engineer - Network Protocols & Data Plane

About the role

Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.

Position Overview

Vectra is looking for senior, AI-forward engineers to help expand and modernize our network data plane. This team builds the high-performance systems that ingest, process, parse, enrich, and deliver network metadata used by our detection, investigation, and response platform.

This role sits at the center of Vectra's packet-processing architecture. You will work on the systems that receive network traffic, steer it through the right processing paths, extract meaningful protocol metadata, and deliver that data reliably through the platform at production scale. Protocol parsing is a major part of the mission, but the broader opportunity is to help shape a scalable data plane that can support more protocols, higher throughput, better validation, and faster delivery over time.

The work requires systems engineering depth, hands-on networking experience, and comfort operating close to Linux, packet capture, hardware constraints, and performance limits. We are looking for engineers who can operate independently, use modern AI-assisted development tools effectively, and help build a repeatable engine for delivering data-plane capabilities with strong validation, test coverage, performance discipline, and operational reliability.

Responsibilities

- Design, implement, test, and maintain core network data-plane capabilities, including packet processing, protocol parsing, metadata extraction, and downstream delivery.

- Improve scalable network data-path architecture on Linux, including packet ingestion, traffic steering, parser execution, metadata modeling, and downstream delivery.

- Use AI-assisted development tools thoughtfully to accelerate investigation, implementation, test generation, and code review while maintaining engineering rigor.

- Work across parsing, serialization, metadata modeling, validation, performance, and downstream platform integration.

- Build feedback loops and test harnesses that validate data-plane behavior end-to-end, not just in isolated parser tests.

- Diagnose correctness, performance, memory, concurrency, and reliability issues in complex packet-processing systems.

- Collaborate with Product, Security Research, Data Science, and engineering teams to turn customer and platform needs into concrete technical outcomes.

- Contribute to technical direction, design reviews, and engineering standards for network data-plane development.