Sr Software Engineer, Data Science

Position Summary

ExtraHop is at the forefront of innovation in the cybersecurity space, delivering cutting-edge Network Detection and Response (NDR) solutions that empower organizations to detect, respond to, and mitigate cyber risks in real time.

Join ExtraHop as a Sr. Software Engineer and help us build a fault-resilient, highly available, and customer-centric platform. In this role you will work with the team to build a scalable and secure platform and develop customer-facing features that enable security and engineering teams to stop threats in their tracks. This is a rewarding opportunity for someone who is obsessed with customer success, passionate about simplification, and eager to dive deep into technology best practices.

Our services and features are written primarily in Python, Golang, TypeScript, and React, with a focus on security, scalability, stability, and type-first design. Our team develops public REST APIs, solves database scalability challenges, implements data migrations, and enables configuration management across our fleet of services. The R(x) 360 Platform is built on AWS and GCP and utilizes Terraform to define Infrastructure-as-Code across our services and high-throughput data pipelines.

Key Responsibilities

• 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.

Required Qualifications

• 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.