Base Salary
$175k - $198k/yr
Responsibilities
- Design, write, and maintain high-performance software for deploying AI/ML models that analyze network traffic for anomalous or malicious behavior.
- Design and develop autonomous AI agent architectures and multi-agent workflows.
- Build services, pipelines, and tooling with data scientists, threat researchers, and cloud teams to support ML experimentation and production workflows.
- Drive engineering excellence through code reviews, design reviews, standards, patterns, and best practices.
- Lead cross-functional technical initiatives and represent engineering with senior leadership and external stakeholders.
- Contribute technical insight to product strategy, roadmap discussions, build-versus-buy decisions, and competitive differentiation.
- Mentor software engineers and promote rigorous engineering practices.
Requirements
- Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 8+ years of professional software engineering experience, including at least 2 years in a Principal, Lead, or Staff capacity shipping enterprise-grade software.
- Expert-level Python and Go programming skills focused on production-quality, well-tested, modular code.
- Experience with machine learning, statistics, or a related quantitative discipline.
- Experience building or operating production AI/ML systems, including model lifecycle management, data and training pipelines, and monitoring.
- Expertise applying machine learning or data science to cybersecurity use cases such as anomaly detection, behavioral analysis, or threat classification.
- Advanced understanding of threat detection methodologies, intrusion prevention systems, and incident response workflows.
- Preferred experience with network telemetry, network protocols, cybersecurity, threat actor techniques, network attack vectors, AWS or Azure, Docker, and Kubernetes.
- Strong written and verbal communication skills, including the ability to influence executive technical and non-technical audiences.
Benefits
- Health, dental, and vision benefits.
- Flexible PTO, prorated sick time, federal holidays for US employees, and three days of paid volunteer time.
- Eligibility for an annual discretionary bonus plan for non-commissioned positions.
- FSA and dependent care accounts, EAP where applicable, educational reimbursement, and 401(k) employer match or pension where applicable.
- Pet insurance and parental leave for US employees.
- Hybrid and remote work model.
Categories
About ExtraHop
ExtraHop is a leader in real-time network intelligence, empowering organizations with the high-fidelity context they need to power security and IT AI automation, detect risks faster, and respond with confidence. ExtraHop anchors AI agents with the real-time, ground-truth foundation they need to operate reliably in the SOC and NOC. For security, that means surfacing threats and providing definitive evidence to investigate and respond to novel AI attacks and unsanctioned usage at machine speed. For IT operations, it means identifying and resolving performance issues in seconds to keep critical systems running. Engineered for unmatched scale, the ExtraHop RevealX platform delivers a complete, unified view of the network for the largest enterprises in the world. Capturing and analyzing network data across data centers, campus, branch, cloud, and AI environments, ExtraHop combines behavioral analysis with deep visibility into encrypted traffic to uncover what others miss.