Senior 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, develop, test, and maintain AI/ML models and pipelines powering ExtraHop's products. • Monitor, evaluate, refine, and optimize algorithms to improve accuracy and reduce false positives for model-based behavioral detectors. • Participate in agile development processes, code reviews, and technical strategy discussions. • Collaborate with cross-functional teams to ensure that AI/ML features are integrated seamlessly into the broader product architecture. • Provide technical leadership to junior team members and leverage design and mentorship experience to enable the broader team. • Act as a technical expert, fostering a culture of excellence, curiosity, and collaborative problem solving. • Write clean, maintainable, and efficient code while adhering to best practices. • Address technical debt proactively, continually improving our codebase and technical stack. • Stay current on the latest cybersecurity threats, trends, and technologies to contribute to product enhancements. • Assist in the documentation of product features, technical specifications, and engineering guides.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. • 7+ years of professional backend development experience with at least two years at a senior or higher level. • Solid knowledge of Go, Python, or an equivalent programming language, with strong general programming fundamentals. • 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. • Experience building and scaling distributed, highly available systems. • Familiarity with cloud platforms, particularly AWS; experience with version control systems (e.g., Git) and agile development practices. • Experience with containerization technologies (Kubernetes, Docker). • Strong problem-solving skills, a self-starter mentality, and a track record of technical ownership. • Excellent communication and collaboration skills, with the ability to work independently and in fast-paced team environments.

🏖️ 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