ExtraHop Networks

Principal Software Engineer | Data Science

ExtraHop Networks
US Seattle, WA, US
Onsite 2026-06-25
Announced salary
$175k–$195k
Low
$107K
Median
$149K
High
$192K
Market in Seattle · BLS OEWS 2025

Job description

At ExtraHop, we're on a mission to protect and empower the connected enterprise. We reveal what is happening in the very infrastructure that sustains businesses, lives, and communities, and ensure the integrity of networks, data, systems, and processes. Organizations rely on ExtraHop to provide visibility into the cyber threats, vulnerabilities, and network performance issues that evade their existing security and IT tools. With this insight, organizations can investigate smarter, stop threats faster, and keep operations running. Our mission is fueled by a profound social and moral responsibility to be the best at what we do, ensuring a secure world where everyone can thrive. If this sounds like a place you'd like to spend the next chapter of your career, we'd love to hear from you. **Position Summary** ExtraHop is at the forefront of innovation in the cybersecurity space, delivering cutting\-edge solutions to protect organizations against evolving threats. Our Network Detection and Response (NDR) products empower businesses to detect, respond to, and mitigate cyber risks in real time. We seek a Principal Software Engineer to join our product development organization and serve as a technical anchor on our NDR platform. In this role, you will drive the architecture and execution of complex, high\-impact engineering initiatives that define the future of our products. You will operate with significant autonomy, influence engineering direction across teams, and mentor engineers at multiple levels while delivering software that addresses the most sophisticated challenges in network security. **Key Responsibilities** * Design, write, and maintain robust, high\-performance software to deploy AI/ML models that analyze network traffic for anomalous or malicious behaviors. * Design and develop autonomous AI agent architectures and multi\-agent workflows. * Collaborate with data scientists, threat researchers, and cloud teams to build high\-performance services,

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