Software Engineer III | AI/ML

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.

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 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

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, 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

Nice to have

Experience with AI/ML frameworks such as PyTorch, MLflow, LangChain, or DSPy; 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

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