Principal Software Engineer – Data Science

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ExtraHop

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔒 Cybersecurity

🔐 Security

🏢 Enterprise

💰 $41M Series C on 2014-05

Cybersecurity • Security • Enterprise

ExtraHop is a company that specializes in providing security and network management solutions, leveraging real-time analytics to help organizations detect and respond to cyber threats. By utilizing machine learning and other advanced technologies, ExtraHop offers deep visibility into IT infrastructure, ensuring optimal performance and robust security. Their platform aids enterprises in monitoring traffic patterns and identifying unusual activities to protect against data breaches and other cyber risks.

📋 Description

• 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, pipelines, and tooling that accelerate ML experimentation and production workflows. • Drive engineering excellence across teams through code reviews, design reviews, and the establishment of standards, patterns, and best practices. • Lead cross-functional technical initiatives and represent engineering in conversations with senior leadership and external stakeholders. • Contribute to product strategy by bringing deep technical insight to roadmap discussions, build-vs-buy decisions, and competitive differentiation. • Lead by example. Provide technical mentorship to software engineers on the team, fostering a culture of continuous learning, optimization, and rigorous engineering discipline.

🎯 Requirements

• Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • 8+ years of professional software engineering experience, with at least 2 years in Principal, Lead, or Staff capacity shipping enterprise-grade software. • Expert-level programming skills in Python and Go, with an emphasis on writing production-quality, well-tested, and modular code. • Experience in machine learning, statistics, or a related quantitative discipline. • Experience building or operating production AI/ML systems, including model lifecycle management, data/training pipelines, and monitoring. • Expertise in applying machine learning or data science techniques 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.

🏖️ Benefits

• Health, Dental, and Vision Benefits • Flexible PTO, Sick Time Prorated Based on Date of Hire, and All Federal Holidays (US Only) + 3 Days of Paid Volunteer Time • Non-Commissioned Positions may be eligible to participate in the Annual Discretionary Bonus Plan • FSA and Dependent Care Accounts + EAP, where applicable • Educational Reimbursement • 401k with Employer Match or Pension where applicable • Pet Insurance (US Only) • Parental Leave (US Only) • Hybrid and Remote Work Model