Software Engineer (AI/ML)

ExtraHop; Seattle (WA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Mentorship

Tuition Reimbursement

Professional Development Budget

Flexible Time Off

Remote & Hybrid Work Options

Wellness Program

Job summary

ExtraHop is seeking a Software Engineer III to help build a fault-resilient, scalable platform with customer-focused AI/ML features. You’ll work with a collaborative team to implement secure, reliable services and public REST APIs on our AWS/GCP stack.

The role emphasizes agile practices, code quality, and continuous improvement, with opportunities to learn and adopt new technologies in a fast-paced cybersecurity environment.

Qualifications

• 4+ years of professional software development experience, preferably in backend, security, or AI/ML related systems.
• Strong knowledge of Python, Go, or an equivalent programming language with solid fundamentals.
• Experience building distributed, highly available cloud-based systems on AWS or GCP.

Responsibilities

• Develop, test, and maintain software components that support AI/ML models and data pipelines.
• Collaborate with senior engineers, data scientists, and threat researchers to integrate AI/ML features into the product architecture.
• Write clean, maintainable code and participate in agile development, code reviews, and technical discussions.

Skills

Python

Go

TypeScript

React

AWS

GCP

Terraform

Kubernetes

Docker

REST APIs

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Terraform

AWS

GCP

Kubernetes

Docker

Job description

• 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

Desire to grow in the intersection of software engineering, cybersecurity, and AI/Machine LearningExperience with version control systems (e.g., Git) and agile development practicesSolid knowledge of Python, Go, or an equivalent programming language, with strong general programming fundamentalsFamiliarity with containerization technologies (Kubernetes, Docker)Familiarity with building distributed, highly available cloud based systems, preferably on AWSExcellent communication and collaboration skills, with the ability to work independently with limited guidance in a fast-paced team environmentBachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experienceStrong problem-solving skills, a self-starter mentality, and the ability to take ownership and deliver well-defined technical tasks4+ years of professional software development experience, preferably in backend, security, or AI/ML related systemsExperience contributing to production AI/ML systems, including data pipelines, model deployment, inference monitoring, or experiment trackingFamiliarity with machine learning, statistics, or a related quantitative disciplineExperience with AI/ML frameworks such as PyTorch, MLflow, LangChain, or DSPyExperience 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)Familiarity with machine learning applications in cybersecurity or NDR environmentsExperience in API development, PostgreSQL database design, or SQL query performance optimizationKnowledge of tools and frameworks commonly used in network detection and responseUnderstanding of threat detection, intrusion prevention, and incident response strategies