NYC

IT Engineer

New York City

Sponsorship not specified$130k-$155kDetected 14 days ago
PythonBashAgentic AICybersecurityComplianceZero TrustCommunicationCollaboration

About the role

  • About Norm Ai Norm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management.

Responsibilities

  • IT Systems Management & Support
  • Own day-to-day IT operations and internal support processes, ensuring reliability and responsiveness
  • Manage account provisioning and deprovisioning across systems
  • Support integration of new tools, automation, and workflows across SaaS systems
  • Collaborate with HR and Ops on onboarding/offboarding and asset management
  • Act as an escalation point for IT issues and ensure high-quality internal support
  • Maintain office networks, printers, conference rooms & Wi-Fi
  • Identify and implement improvements to IT automation, observability, and compliance readiness
  • Drive adoption of best practices in endpoint and SaaS security hygiene
  • Design, implement and maintain secure baseline configurations for key IT and SaaS platforms (ex. Okta, Google Workspace, M365, Slack)

Requirements

  • 5-10 years of experience in IT, security engineering, or systems administration
  • Proven experience with at least several of:
  • Strong understanding of security principles (least privilege, zero trust, endpoint hardening, patching)
  • Experience with Microsoft 365, iManage, Intapp, and Litera

Skills

  • About Norm Ai
  • Norm Ai, the agentic law company, has a client base with a combined $30 trillion in assets under management.
  • Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world.
  • Norm Ai is also the technology behind Norm Law, LLP, a separate but affiliated AI-native law firm built for the era of agentic AI.
  • They use it to improve the quality and speed of their work and to continuously refine how work gets done end-to-end.

Compensation

  • Compensation and Benefits

This listing is sourced directly from NYC's careers page and normalized into a canonical job model.