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PhysicsX

Physics AI platform for industrial engineering

Enterprise IT Engineer

Security Engineering & ArchitectureConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Designed and owned enterprise identity environments, particularly Microsoft Entra ID/Azure AD, at a meaningful company scale.
  • Built zero-trust architectures using conditional access, device trust and posture validation, and least privilege.
  • Owned mobile device management end-to-end, including enrollment, compliance policy, patching, and lifecycle management across a mixed-OS fleet.
  • Deployed and operated a SASE platform in production, including policy design.
  • Have 5–10 years of experience in enterprise IT, security engineering, or identity/infrastructure roles, with hands-on ownership of Microsoft Entra ID/Azure AD in production.
  • Designed conditional access policies, including risk-based and device-aware access rules.
  • Have experience with Entra ID Governance, including Access Reviews, Identity Protection, and Privileged Identity Management at scale.
  • Have experience with SSO/SAML/OIDC federation and SCIM provisioning across enterprise applications.
  • Have experience with endpoint security tools such as CrowdStrike or Defender for Endpoint.
  • Can use PowerShell, Python, or Microsoft Graph API for scripting and automation of identity and device workflows.
  • Have experience with hybrid identity, such as Entra Connect or on-premises Active Directory synchronization.
  • Are familiar with SOC 2, ISO 27001, and FedRAMP and can translate control requirements into technical implementation, including access reviews, logging, encryption, and change management.
  • Partner collaboratively with security, platform engineering, and the wider business.

Responsibilities

  • Own and evolve the Microsoft Entra ID environment, including identity architecture, conditional access policies, multifactor authentication, Privileged Identity Management, SSO/SCIM integrations, and hybrid identity where relevant.
  • Manage enterprise infrastructure as code in Terraform for identity, networking, and security tooling so configuration is versioned, reviewable, and repeatable.
  • Design and implement zero-trust network access, replacing legacy VPN patterns with SASE-based access control.
  • Own mobile device management strategy and operations across macOS, Windows, Linux, and mobile devices, including enrollment, compliance baselines, patch management, and endpoint security posture.
  • Partner with the platform/DevOps team to align enterprise IT and cloud security postures across AWS, GCP, and Azure.
  • Lead access reviews, least-privilege enforcement, and identity governance work to support audit and compliance requirements such as SOC 2 and ISO 27001.

Desired Qualifications

  • Experience with cloud IAM and security architecture, AWS IAM Identity Center, and Google Workforce Identity Federation, including federation with enterprise identity systems such as Entra.
  • Experience with compliance automation tools such as Vanta or Drata.
  • Experience with Cloudflare Zero Trust.
  • Exposure to SIEM/EDR/XDR tools and correlating identity signals with broader security monitoring.
  • Background at an AI or high-growth SaaS company.
  • Experience supporting UK/EU data protection requirements such as GDPR from an identity and access perspective.
  • Microsoft Certified: SC-300, SC-100, or MD-102; CompTIA Security+; a SASE-vendor certification such as Cloudflare Certified or Zscaler Certified; or CCNA.

About the Company

PhysicsX

Physics AI platform for industrial engineering

PhysicsX uses physics-based artificial intelligence for industrial engineering, combining machine learning with physics simulations to shorten design and operation cycles for aerospace, energy, and automotive sectors. Its platform replaces multi-day simulations with near-real-time models that predict performance, helping teams test ideas faster while reducing emissions and costs. It differs from competitors by delivering physics-driven AI with fast, scalable simulations tailored to large, complex industrial systems, supported by a slate of major investors and industrial partners. The company aims to speed up product development and drive broad adoption of physics AI across industrial sectors.

Company size
201-500
Company stage
Series C
Total funding
$487M
Headquarters
London, United Kingdom
Founded
2019

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