NYC
IT Engineer
New York City
Sponsorship not specified$130k-$155kDetected 15 days ago
PythonBashAgentic AICybersecurityComplianceZero TrustCommunicationCollaborationCISSP
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.