USA

New Relic•St. Louis, MO

5h•$95,000 - $119,000

About The Position

New Relic is seeking an Infrastructure Engineer to join its IT Engineering team, focusing on network infrastructure and enterprise AI enablement. The role builds and operates secure, reliable networks for a global workforce and deploys AI tools that support company-wide productivity. It emphasizes automation, scalability, and platform ownership. The engineer partners with Security, Compliance, Facilities, IT Support, and Engineering teams, and may lead projects and help shape the roadmap. The position owns and improves core network infrastructure across global offices while driving the technical rollout and governance of enterprise AI platforms. Responsibilities include managing network infrastructure and ISP relationships, planning office network builds and refreshes, operating Zero Trust and network security systems, monitoring network health, administering AI platforms, creating AI-enabled automations, and establishing AI usage controls. The role also involves documentation, escalation support, and participation in a global on-call rotation. The position is to be filled as soon as possible. Visa sponsorship is not available. The role is eligible for a corporate bonus plan and offers a flexible workforce model that may include office-based, remote, or hybrid work arrangements.

Requirements

At least 2 years of experience in network, infrastructure, or IT engineering.
Strong networking knowledge covering TCP/IP, DNS, DHCP, VLANs, routing, TLS, VPN, proxy, and firewall, with proven troubleshooting skills.
Hands-on experience managing Meraki or comparable enterprise network infrastructure.
Experience working with ISPs and carriers, including circuit management and outage escalation.
Hands-on experience with enterprise AI or LLM platforms such as Gemini, Claude, or similar, including administration or integration work.
Proficiency in a scripting or programming language such as Python, Bash, or JavaScript, and experience building against REST APIs.
Understanding of data security principles as they apply to AI usage, including data classification, DLP, and least privilege.
Strong critical-thinking and structured problem-solving skills.
Clear written and verbal communication, including the ability to document designs and teach others.
Ability to work independently and collaboratively across teams.

Nice To Haves

Cisco Meraki certification (CMNA), CCNA, or Network+.
Experience with SD-WAN design and multi-site network management.
Experience with Cloudflare Zero Trust, DLP, or CASB tooling.
Experience building agents or workflows with MCP, prompt engineering, or LLM APIs.
Experience with infrastructure as code or workflow automation such as Terraform, Ansible, or n8n.
Experience supporting SOX or similar compliance controls.
Experience administering SaaS platforms such as Google Workspace, Slack, or Atlassian.
Experience running AI adoption programs, training, or internal enablement.

Responsibilities

Design, deploy, and manage Meraki infrastructure across global offices using the Meraki Dashboard and APIs.
Troubleshoot office network issues involving Wi-Fi, switching, VLAN, DHCP, DNS, and connectivity.
Manage ISP relationships, including circuit procurement, installs, renewals, SLAs, outage escalation, and domain performance tracking.
Plan and execute office network builds, moves, and refreshes in collaboration with Facilities and Security.
Design, deploy, and operate Zero Trust and network security infrastructure, including Cloudflare Zero Trust/WARP, VPN, and firewall policy.
Monitor network health and capacity, respond to incidents, and drive root-cause fixes.
Maintain network documentation, including architecture diagrams, IP plans, runbooks, and SOPs.
Deploy and administer enterprise AI platforms such as Gemini Enterprise and Claude, including configuration, integrations, and usage monitoring.
Build AI-powered automations to reduce manual work across IT and business teams.
Design and enforce AI usage controls, including data protection, DLP, audit logging, and access policies.
Evaluate AI tools and vendors, run pilots, and recommend adoption based on measurable impact.
Build integrations and automation using scripts and APIs to eliminate manual toil.
Serve as an escalation point for IT Support on complex network and infrastructure issues.
Participate in a global on-call rotation.