Principal Software Engineer | MLI
At ExtraHop, we're on a mission to help organizations achieve complete visibility, real-time threat detection, and proactive security through cutting-edge network detection and response (NDR) technology. Our NDR product is a market leader, providing our customers with the ability to detect, investigate, and respond to threats faster than ever before.
We’re proud of the work we do and the recognition we’ve received, including our recent Gartner Peer Insights award, which reflects the trust and satisfaction our customers have in our solutions.
If you're passionate about innovation, dedicated to protecting digital infrastructures, and ready to make a real impact, we invite you to join our team and help us shape the future of cybersecurity.
Position Summary
As a Principal Software Engineer | MLI at ExtraHop, you’ll work on the design and implementation of scalable systems that support our machine learning projects. You’ll work closely with data scientists, ML engineers, and cloud teams to create efficient tools and infrastructure for managing machine learning workflows – from data collection and experimentation to deployment and monitoring.
You’ll lead engineering best practices through code reviews, mentorship, and high standards for security, performance, and reliability. Your experience will help improve our machine learning processes, focusing on clear documentation, easy version management, automated deployments (CI/CD), and secure operations. Staying informed on new developments in machine learning operations (MLOps), container management, and cloud technologies, you'll help guide decisions to keep our ML platform modern and effective.
Key Responsibilities
- Provide technical leadership in the architecture, design, and implementation of robust and scalable infrastructure to support the full lifecycle of machine learning systems—from data ingestion to model deployment and monitoring.
- Collaborate with data scientists, ML engineers, and cloud teams to build high-performance services, pipelines, and tooling that accelerate ML experimentation and production workflows.
- Drive the evolution of ML infrastructure capabilities, including support for reproducibility, versioning, CI/CD for ML models, observability, and secure deployment.
- Design and develop infrastructure-as-code (IaC) solutions using Terraform or similar tools to ensure infrastructure scalability, consistency, and automation.
- Champion engineering excellence through code reviews, mentorship, and by setting high standards for performance, security, and maintainability.
- Stay informed about industry trends in ML infrastructure, MLOps, container orchestration, and cloud-native tools, and help shape strategic technology decisions.
- Contribute to internal documentation, operational runbooks, and design specifications to enable knowledge sharing and operational resilience across the team.
Required Qualifications
- 8+ years of professional software engineering experience, with 3+ years focused on ML infrastructure, distributed systems, or platform engineering.
- Strong programming skills in Python and Go, with an emphasis on writing production-quality, well-tested, and modular code.
- Demonstrated experience building and scaling systems that support data-intensive or ML workloads in cloud or hybrid environments.
- Solid experience with IaC tools such as Terraform, and configuration management systems (e.g., Ansible, Packer).
- Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes), especially in support of ML workloads.
- Working knowledge of ML model lifecycle, MLOps best practices, and ML frameworks (e.g., PyTorch, TensorFlow, MLflow).
- Experience with CI/CD pipelines, automation frameworks, and observability tools (e.g., Prometheus, Grafana, Datadog).
- Excellent problem-solving skills with the ability to lead technically complex projects from concept to production.
- U.S. citizenship or lawful permanent resident status required for work in secure environments.
Preferred Qualifications
- Master’s or Bachelor's degree in Computer Science, Engineering, or a related field.
- Prior experience securing ML systems or data pipelines, with an understanding of role-based access control (RBAC), service accounts, and network segmentation.
- Familiarity with compliance and regulatory standards such as FedRAMP, NIST SP 800-53, or similar
- Exposure to security in ML and cloud environments, including threat modeling, guardrails, and vulnerability scanning tools.
- AWS, GCP, or Azure certification (e.g., Solutions Architect or ML Specialist) is a plus.
- Experience supporting or building Network Detection and Response (NDR), intrusion detection systems, or other cybersecurity-focused ML applications is highly desirable.
The salary range for this role is 160,000 - 190,000 + bonus + benefits
ABOUT EXTRAHOP
ExtraHop is the cybersecurity partner enterprises trust to reveal the unknown and unmask the attack. We’re on a mission to protect and propagate trust by revealing the cybertruth, and we partner with every customer, every day, to uncover it. Our Reveal(x) 360 platform is the only network detection and response solution delivering the 360-degree visibility needed to see everything on the network. When organizations have full network transparency with ExtraHop, they can see more, know more, and stop more cyberattacks.
ExtraHop is recognized by leading organizations for both its innovation in the market and its commitment to building a world-class team. We’ve been recognized as a “Customer’s Choice” by Gartner Peer Insights™ Voice of the Customer, and as a Leader in the Forrester Wave®: Network Analysis and Visibility, Q2 2023. ExtraHop has won AI Breakthrough Awards four times (2018-2020, 2023) and our Channel Partner program has received a 5-star rating from CRN for our 2023 Partner Program Guide. Our flagship product, Reveal(x), has received numerous accolades, including a 2022 Edison Award for Cybersecurity.
Employees' wellbeing is top of mind for the ExtraHop team. Employees and their families will have the option to participate in the following 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
*Candidates should note that the Company may modify reporting relationships, job titles and compensation, including commissions and benefits, from time to time at its sole discretion, as it deems necessary, with or without prior notice.
We are intentional about our culture, diversity, and inclusion, and we welcome everyone to come ready to participate in contributing to this truly unique environment. At ExtraHop, we believe that the best products, services, and companies are built by strong teams that include a diversity of backgrounds, perspectives, ideas, and experiences. We are committed to supporting and enabling growth and opportunity for every employee at every level. This is the foundation of our success.
We are equally committed to equal employment opportunity, and it is foundational to how we recruit and hire our talented team. Employment is determined based upon capabilities and qualifications without discrimination on the basis of race, color, religion, sex, gender identification and expression, marital status, military status, pregnancy (including but not limited to potential pregnancy and pregnancy-related conditions), sexual orientation, age , national origin, ancestry, citizenship or immigration status, disability ,, genetic information, or any other protected class as established by law.
Our people are our most important competitive advantage, leading the charge cyber criminals and insider threats.
Ready to join us? #Extrahop #Security #NDR #informationsecurity #cybersecurity #cloudsecurity #infosec #LI-Remote
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