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Fortinet

AI Infrastructure Engineer

Fortinet

AI infrastructure engineer building Fortinet’s Linux/GPU platforms and benchmarking systems. Supporting secure AI solution demonstrations, proof-of-concepts, and technical sales.

Posted 8/28/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $215,000 - $350,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Linux Systems Administration, Performance Testing, and Automation, with a strong focus on optimizing AI/ML infrastructure and enhancing operational efficiency through innovative methodologies and frameworks.

Highest-signal resume keywords
Linux Systems AdministrationPerformance TestingAutomation Scripting in Python/BashKVM or Docker/Kubernetes ContainerizationAI/ML Infrastructure Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Performance TestingAutomation Scripting in PythonAutomation Scripting in BashLinux Systems AdministrationGPU-Based Compute EnvironmentsBenchmarking MethodologiesNetwork Security ConceptsTechnical Documentation CreationCapacity PlanningIncident Response
Soft Skills
Customer-Facing Technical SupportTechnical Presentation SkillsCollaboration with Engineering Teams
Tools & Technologies
KVMDockerKubernetesCI/CD ToolchainsIaCMonitoring/Observability StacksFortinet Products
Industry Keywords
Virtualization PlatformsAI WorkloadsResource UtilizationScalabilityOperational Efficiency

Tech Stack

Tools & technologies
DockerKubernetesLinuxPython

About the role

Key responsibilities & impact
  • Operate, maintain, and enhance automated performance testing services benchmarking throughput, latency, scalability, and resource utilization
  • Develop testing frameworks, automation, and validation methodologies
  • Analyze performance data and recommend improvements to reliability, scalability, and operational efficiency
  • Deploy, monitor, and optimize Linux servers, GPU clusters, virtualization platforms, and lab hardware
  • Support availability and utilization of compute resources for engineering, testing, and AI workloads
  • Evaluate and integrate new hardware technologies
  • Implement monitoring, logging, alerting, failover, and incident response for critical infrastructure
  • Develop, deploy, and maintain internal AI server applications and shared compute platforms
  • Improve operational efficiency through automation and proactive issue identification
  • Troubleshoot complex system, network, and application issues
  • Support lab operations, including access control, network administration, resource allocation, and capacity planning
  • Contribute to lab governance standards and best practices
  • Create and maintain benchmarking reports, design notes, technical documentation, and internal runbooks
  • Share technical insights and best practices with the broader engineering organization
  • Support customer demonstrations, proof-of-concepts, competitive evaluations, and technical sales efforts

Requirements

What you’ll need
  • Hands-on Linux systems administration and infrastructure experience, including servers, networking fundamentals, and virtualization
  • Experience with KVM or containerization using Docker/Kubernetes
  • Familiarity with DevOps toolchains, including CI/CD, IaC, and monitoring/observability stacks
  • Strong scripting/automation ability in Python and/or Bash applied to infrastructure or testing workflows
  • Practical experience with GPU-based compute environments or AI/ML infrastructure
  • Experience with performance testing, benchmarking, or traffic-generation methodologies
  • Exposure to network security concepts and enterprise security technologies
  • Experience with Fortinet products or similar enterprise security/networking solutions is a plus, not required
  • Experience in customer-facing technical work, including proof-of-concept support, demos, or technical presentations
  • Experience creating technical documentation, white papers, or delivering internal training

Benefits

Comp & perks
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • 401(k)
  • 11 paid holidays
  • Vacation time
  • Sick time
  • Comprehensive leave program
  • Equity program
  • Commissions based on the terms of the Sales Compensation Plan