Software Engineer, ExtraHop

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 4+ years of professional software development experience, preferably in backend, security, or AI/ML related systems
• Solid knowledge of Python, Go, or an equivalent programming language, with strong general programming fundamentals
• Familiarity with machine learning, statistics, or a related quantitative discipline
• Experience contributing to production AI/ML systems, including data pipelines, model deployment, inference monitoring, or experiment tracking
• Familiarity with building distributed, highly available cloud based systems, preferably on AWS
• Experience with version control systems (e.g., Git) and agile development practices
• Familiarity with containerization technologies (Kubernetes, Docker)
• Strong problem-solving skills, a self-starter mentality, and the ability to take ownership and deliver well-defined technical tasks
• Excellent communication and collaboration skills, with the ability to work independently with limited guidance in a fast-paced team environment
• Desire to grow in the intersection of software engineering, cybersecurity, and AI/Machine Learning

Desirable

• 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 Software Engineer III and help us build a fault-resilient, highly available, and customer-centric platform
• In this role you will work as part of a collaborative engineering team to build a scalable and secure platform and develop customer-facing AI/ML features that enable security teams to stop threats in their tracks
• This is a rewarding opportunity for an engineer who is obsessed with customer success, passionate about building reliable software, and learning new technologies that contribute to AI/ML-powered security capabilities in production systems
• 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
• Develop, test, and maintain software components that support AI/ML models, agentic processes, and data pipelines
• Contribute to the monitoring, evaluation, and improvement of algorithms used in model-based behavioral detectors
• Participate in agile development processes, code reviews, and technical discussions
• Collaborate with senior engineers, data scientists, and threat researchers to integrate AI/ML features into the broader product architecture
• Implement well-scoped features and technical improvements with limited guidance from senior team members
• Write clean, maintainable, and efficient code while adhering to engineering standards and best practices
• Help identify and address technical debt to continually improve 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
• Support a culture of curiosity, collaboration, quality, and continuous improvement