Associate IT infrastructure Engineer

Job summary

The Infrastructure Engineer builds and operates global office networks while enabling secure, governed use of enterprise AI platforms. The role manages Meraki infrastructure, ISP connectivity, and Zero Trust controls; administers tools such as Gemini Enterprise and Claude; and develops script- and API-based automations. It also includes incident response, cross-functional coordination, and participation in a global on-call rotation.

Benefits

Qualifications

• At least 2 years of experience in network, infrastructure, or IT engineering.
• Strong knowledge of TCP/IP, DNS, DHCP, VLANs, routing, TLS, VPN, proxy, and firewall technologies.
• Hands-on experience managing Meraki or comparable enterprise network infrastructure.
• Experience managing ISP or carrier circuits and outage escalations.
• Experience administering or integrating enterprise AI or LLM platforms such as Gemini or Claude.
• Proficiency in Python, Bash, JavaScript, or another scripting language, and experience with REST APIs.
• Understanding of AI data security, data classification, data loss prevention, and least privilege.
• Strong critical thinking, structured problem-solving, written and verbal communication, and collaboration skills.

Responsibilities

• Design, deploy, and manage Meraki networks across global offices.
• Troubleshoot Wi-Fi, switching, VLAN, DHCP, DNS, and connectivity issues.
• Manage ISP circuits, procurement, renewals, service-level agreements, and outage escalations.
• Plan office network builds, moves, and refreshes with Facilities and Security.
• Operate Zero Trust and network security infrastructure, including Cloudflare Zero Trust/WARP, VPN, and firewall policies.
• Monitor network health and capacity, respond to incidents, and resolve root causes.
• Maintain network architecture diagrams, IP plans, runbooks, and standard operating procedures.
• Deploy and administer enterprise AI platforms, including configuration, integrations, and usage monitoring.
• Build AI-powered workflows and script- or API-based automations.
• Implement AI data protection, loss prevention, audit logging, and access policies.
• Evaluate AI tools and vendors through pilots and measurable impact assessments.
• Escalate and resolve complex network and infrastructure issues.

Skills

Certifications

Work schedule

Industry

Relocation