Senior Network Infrastructure Engineer (AI)

TL;DR

Senior Network Infrastructure Engineer (AI): Designing and operating high-performance data center and cloud infrastructure for a consumer AI platform with an accent on physical networking, cloud platforms, and infrastructure security. Focus on building Infrastructure as Code, managing Kubernetes production environments, and ensuring system reliability in a high-availability environment.

Location: Must be based in the USA (Remote)

Salary: $180K-$225K USD

Company

A consumer AI tech firm specializing in Agentic AI that gathers, assesses, and delivers AI-sourced information.

What you will do

• Manage core networking including routing, VLANs, VPNs, firewalls, load balancing, and peering.
• Design, build, and maintain network infrastructure across on-premises data centers and cloud environments.
• Develop and maintain Infrastructure as Code (IaC), automation, and CI/CD pipelines.
• Support Linux infrastructure and production environments based on Kubernetes.
• Enhance platform reliability, observability, monitoring, and incident response processes.
• Collaborate with software engineering and security teams to ensure scalable and secure infrastructure.

Requirements

• Must be based in the USA
• 7+ years of experience in Network Engineering, Infrastructure Engineering, DevOps, or SRE roles.
• Strong expertise in network administration and network security.
• Experience managing physical data center infrastructure alongside cloud platforms (AWS, GCP, Azure).
• Hands-on proficiency with IaC tools such as Terraform, Pulumi, or Ansible.
• Experience with CI/CD tools like GitHub Actions or CircleCI, and production Kubernetes operations.

Culture & Benefits

• Competitive base salary and total compensation package.
• Opportunity to work with cutting-edge Agentic AI technology.
• Remote-first work environment for US-based candidates.