AI Infrastructure Engineer

Fortinet

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$215,000–$350,000 / yr
Posted
14 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k
This role $282k
$86k most similar roles pay here $378k

This role pays more than 95% of similar roles. Most pay $144,350–$221,100 — the shaded band above. At the midpoint, this role pays about $282k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Fortinet

Fortinet is a US-based cybersecurity company best known for its FortiGate next-generation firewalls. It sells a broad security platform spanning network security, SD-WAN, endpoint protection, cloud security, and SIEM/SOC operations.

Fortinet currently has 43 open roles on FindRole.

Listed pay typically runs $179,000–$219,000 across 35 roles with salary data.

Most-posted roles

View all roles at Fortinet

At a glance

TL;DR · AI Infrastructure Engineer

As an AI Infrastructure Engineer, you will join the engineering team to build, operate, and enhance Linux and GPU-based infrastructure powering AI platforms and performance testing environments. You will be responsible for designing benchmarking frameworks, maintaining lab hardware, and developing internal AI platform services to support customer demonstrations and technical sales efforts. Your daily work involves managing automated performance testing services to benchmark throughput and latency, deploying GPU clusters, and implementing monitoring, logging, and failover systems. The role requires expertise in Linux systems administration, networking fundamentals, virtualization, and containerization using Docker or Kubernetes. You will utilize Python and Bash for automation within DevOps toolchains including CI/CD and IaC. This position focuses on the technical challenge of ensuring reliable compute resources for AI workloads while providing infrastructure that enables rapid validation of customer requirements.

What you'll do

  • Operate and enhance automated performance testing services to benchmark throughput, latency, and resource utilization.
  • Develop new testing frameworks and automation methodologies as technical requirements evolve.
  • Deploy, monitor, and optimize Linux servers, GPU clusters, and virtualization platforms.
  • Implement monitoring, logging, alerting, and incident response for critical infrastructure components.
  • Develop and maintain internal AI server applications and shared compute platforms.
  • Automate infrastructure workflows and troubleshoot complex system, network, and application issues.
  • Manage day-to-day lab operations including access control, network administration, and capacity planning.
  • Create technical documentation including benchmarking reports, design notes, and internal runbooks.

What we're looking for

  • Hands-on Linux systems administration and infrastructure experience including servers, networking fundamentals, and virtualization.
  • Experience with KVM or containerization technologies such as Docker and Kubernetes.
  • Familiarity with DevOps toolchains including CI/CD, Infrastructure as Code (IaC), and monitoring/observability stacks.
  • Strong scripting and automation skills in Python and/or Bash for 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.
  • Bachelor's degree in Computer Science, Computer Engineering, or a related field.

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