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NEXTMOVEFDE careers · United States

Manager, Engineering | ML Infrastructure & Tooling

AI summary of the role

Lead the ML Infrastructure & Tooling team at ExtraHop, responsible for building the infrastructure and tooling that enables fast, cost-effective development and deployment of machine learning models for cybersecurity detections.

What you’ll do

  • Work as a product owner to deliver on product vision and feature priorities, balancing scope, quality, supportability, performance, and time criticality.
  • Guide the team through design and implementation for complex technical projects.
  • Work closely with internal stakeholders to ensure product meets quality/stability requirements of enterprise customers.
  • Manage end-to-end product ownership from planning and design to on-call product support and escalation handling.

What you’ll bring

  • 7+ years in software development and 3+ years in team lead/management role.
  • Managed teams that have delivered machine learning cloud infrastructure and features through design, architecture, and development.
  • Experience in cloud infrastructure, infrastructure as code, database design, or SQL query performance optimization.
  • Familiarity with machine learning models such as LLMs, Clustering, and Anomaly Detection.

Technologies

ML infrastructure · cloud infrastructure · infrastructure as code · CI/CD · LLMs · clustering · anomaly detection · SQL · DevOps · agile

About ExtraHop

ExtraHop turns packet-level network telemetry into real-time NDR, performance, IDS, and forensic context for enterprise security teams.

Acquired · 500–1000 people

Source and classification

Deployment team leadership · Evidence for this classification:

ranging from healthcare to payment processing. We don't just solve problems for our users, we help them rise above the noise of threats, alerts, and corporate gridlock. Our products enable organizations to harness the power of their wire data and achieve true security and exceptional performance. The Machine Learning Infrastructure team owns the tools that empower the development of new machine learning models and data intelligence at Extrahop. Scalability, efficiency and experimentation is the lifeblood of machine learning. Our goal on the Machine Learning Infrastructure team is to make it fast, easy, and cost effective to design, code, deploy, perform experiments, and to develop and support the production environment to deliver cybersecurity detections in a timely manner. As an Engineering Manager of this team, you will drive and develop the team on design and build infrastructure
How jobs are selected

Employer postings · Data from · Sources