FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

AI Infrastructure Engineer
FortinetAI 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 fitCore 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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesDockerKubernetesLinuxPython
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