Software Engineer III | AI/ML

ExtraHop provides Network Detection and Response solutions that help organizations detect, investigate, and mitigate cyber risks. The Software Engineer III will build reliable, scalable platform components and customer-facing AI/ML features, including software supporting models, agentic processes, data pipelines, and behavioral detectors.

Responsibilities:

• 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 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

Requirements:

• 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, cloud, or security related systems
• Solid knowledge of Python, with strong general programming fundamentals
• 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
• Familiarity with machine learning, statistics, or a related quantitative discipline
• Experience with other languages such as Go, or an equivalent programming language
• Familiarity with building distributed, highly available cloud based systems, preferably on AWS
• Experience with cloud services on AWS or Azure (EKS / RDS / S3 / SQS / EC2 / IAM)
• Experience with infrastructure as a software tooling, such as HashiCorp (Packer, Vault, Terraform)
• Experience in API development, PostgreSQL database design, or SQL query performance optimization
• Familiarity with machine learning applications in cybersecurity or NDR environments
• Knowledge of tools and frameworks commonly used in network detection and response
• Understanding of threat detection, intrusion prevention, and incident response strategies