Associate IT Infrastructure Engineer

Your opportunity

New Relic is seeking an Infrastructure Engineer to join our IT Engineering team, with a focus on network infrastructure and enterprise AI enablement. You will build and operate the networks that keep our global workforce connected and secure, and you will help deploy AI tools that make the company faster. This is an engineering role built around automation, scalability, and reliability, with real ownership over the platforms you run.

We are looking for a systems thinker who automates repetitive work, writes clear documentation, and makes sound tradeoffs between security, usability, and speed of adoption. You will partner with Security, Compliance, Facilities, IT Support, and Engineering teams, and you will have room to lead projects and shape the roadmap.

What you'll do

You will own and improve core network infrastructure across our global offices while driving the technical rollout and governance of AI platforms across the company. Day-to-day responsibilities include:

Network and infrastructure

• Design, deploy, and manage Meraki infrastructure across global offices using the Meraki Dashboard and APIs
• Troubleshoot and resolve office network issues, including Wi-Fi, switching, VLAN, DHCP, DNS, and connectivity problems.
• Manage ISP relationships, including circuit procurement, installs, renewals, SLAs, outage escalation, and domain performance tracking
• Plan and execute office network builds, moves, and refreshes with Facilities and Security
• Design, deploy, and operate Zero Trust and network security infrastructure (Cloudflare Zero Trust/WARP, VPN, 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

AI enablement

• Deploy and administer enterprise AI platforms (Gemini Enterprise, Claude, and related tools), including configuration, integrations, and usage monitoring
• Build AI-powered automations that reduce manual work across IT and business teams
• Design and enforce AI usage controls, including data protection, DLP, audit logging, and access policies
• Evaluate new AI tools and vendors, running pilots and recommending adoption based on measurable impact

Team and operations

• Build integrations and automation using scripts and APIs to eliminate manual toil
• Act as an escalation point for IT Support on complex network and infrastructure issues
• Participate in a global on-call rotation

This role requires

• 2 years of experience in network, infrastructure, or IT engineering
• Strong networking knowledge (TCP/IP, DNS, DHCP, VLANs, routing, TLS, VPN, proxy, firewall) and 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 (Gemini, Claude or similar), including administration or integration work
• Proficiency in a scripting or programming language (Python, Bash, JavaScript) and experience building against REST APIs
• Understanding of data security principles as they apply to AI usage (data classification, DLP, 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

Bonus points if you have

• Cisco Meraki certification (CMNA) or CCNA/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 (Terraform, Ansible, n8n, or similar)
• 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

Please note that visa sponsorship is not available for this position.

Qualified applicants may inquire about visa sponsorship (including transfer of a current H-1B visa), but the company does not support or sponsor O-1, F-1, or J-1 visas, or candidates who require commencement of an H-1B "cap case" petition for future work authorization. This position is to be filled as soon as possible.

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