Software Engineer (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
• 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

Benefits

• Walking distance to restaurants, shops, and the waterfront
• Cafe for vibing, gaming, and recharging between meetings
• Collaboration spaces designed for both focused work and team brainstorming
• Fully stocked kitchen with snacks and beverages
• Craft beer on tap for celebrations and team gatherings
• Mentorship | Connect with experienced leaders across the organization who can guide your career development
• Internal Mobility | Career growth happens in multiple directions — move up, across functions, or to new locations as opportunities arise
• Professional Development Budget or Tuition Reimbursement | Financial support for continuing education, certifications, and degree programs relevant to your career. Annual budget for conferences, courses, workshops, and learning resources
• Family-Inclusive Benefits | Healthcare coverage that extends to domestic partners, spouses, and dependents
• Family Medical Leave | Extended leave options for family caregiving, medical situations, and life transitions
• Parental Leave | Generous paid parental leave for new parents, because welcoming a new family member is a life-changing moment
• Employee Referral Program | Generous referral bonuses when you help us find great talent; your network matters
• Financial Planning Resources | Access to financial wellness programs and planning tools to help you make informed decisions about your future
• Performance Incentives | Bonus or commission opportunities based on role and performance
• Competitive Compensation | Market-rate salaries benchmarked against data to ensure you’re paid fairly for your expertise and impact
• Competitive Compensation | Market-rate salaries benchmarked against data to ensure you’re paid fairly for your expertise and impact
• Commuter Benefits | Commuter benefits to make your journey to a local office easier
• Life & Disability Insurance | Company-provided life insurance and disability coverage to protect you and your loved ones
• Wellness Program | Access to Employee Assistance Programs (EAP), gym membership discounts, and resources to support your physical and mental well-being
• Comprehensive Medical Coverage | Health and Wellness benefits to fit your needs
• Team Events & Offsites | Regular team gatherings, department offsites, and company-wide celebrations to build connections
• Global Collaboration | Work with teammates around the globe. Bring your perspective to a truly international team
• Voluntary Time Off | 3 community service days each year to give back to causes you care about
• Paid Company Holidays | Enjoy time with family and friends during major holidays
• Remote & Hybrid Work Options | Work where you work best. We support remote, hybrid, and in-office arrangements based on your role and preference
• Flexible Time Off | PTO policies that trust you to manage your time and recharge when you need it most

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