Infrastructure Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: United States — Atlanta, Austin, Baltimore, Boise, Chicago, Dallas, Detroit, Houston, Las Vegas, Madison, Miami, Minneapolis, Nashville, Orlando, Phoenix, Pittsburgh, Portland, or St. Louis. Flexible workforce model with fully remote, hybrid, or office-based options.
Estimated base pay: $95,000–$119,000 USD annually, varying by work location, skills, qualifications, and experience. Eligible for a corporate bonus plan.
Company
develops an observability platform that helps companies monitor and optimize complex digital applications, with a focus on AI-enabled operations.
What you will do
- Design, deploy, and manage Meraki network infrastructure across global offices using the Meraki Dashboard and APIs.
- Troubleshoot Wi-Fi, switching, VLAN, DHCP, DNS, routing, connectivity, and other office network issues.
- Manage ISP and carrier relationships, including circuit procurement, installations, renewals, SLAs, and outage escalation.
- Build and operate Zero Trust and network security infrastructure, including Cloudflare Zero Trust/WARP, VPNs, and firewall policies.
- Deploy and administer enterprise AI platforms such as Gemini Enterprise and Claude, including integrations, monitoring, data protection, DLP, audit logging, and access controls.
- Build scripts, API integrations, and AI-powered automations; support incident response, documentation, cross-functional projects, and global on-call operations.
Requirements
- At least 2 years of experience in network, infrastructure, or IT engineering.
- Strong knowledge of TCP/IP, DNS, DHCP, VLANs, routing, TLS, VPNs, proxies, and firewalls, with proven troubleshooting ability.
- Hands-on experience with Meraki or comparable enterprise network infrastructure and with ISP or carrier circuit management.
- Experience administering or integrating enterprise AI or LLM platforms such as Gemini or Claude.
- Proficiency in Python, Bash, or JavaScript and experience building integrations with REST APIs.
- Understanding of AI data security, including data classification, DLP, least privilege, and access policies; strong documentation, communication, and problem-solving skills.
Nice to have
- CMNA, CCNA, or Network+ certification.
- Experience with SD-WAN, multi-site networks, Cloudflare Zero Trust, DLP, CASB, Terraform, Ansible, n8n, MCP, prompt engineering, or LLM APIs.
- Experience supporting SOX or similar compliance controls and administering Google Workspace, Slack, or Atlassian.
- Experience leading AI adoption, training, or internal enablement programs.
Culture & Benefits
- Flexible workforce model supporting remote, hybrid, and office-based work.
- Healthcare, dental, vision, parental leave and planning, and mental health benefits.
- 401(k) plan with company match, flexible time off, 11 paid holidays, and volunteer time off.
- Inclusive environment focused on diverse backgrounds, abilities, and career paths.
- Background check and employment eligibility verification are required.
- Visa sponsorship is not available; O-1, F-1, J-1, and new H-1B cap-case sponsorship are not supported.
Hiring process
- Applicants must complete identity and employment eligibility verification.
- A criminal background check is required because of customer data responsibilities.
- Some roles may require an export compliance assessment.
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