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MedReview Inc.

Cloud Security Engineer

MedReview Inc.
United States · Full-time · Entry

Position Summary
The AI/Cloud Security Engineer is responsible for testing, installing, configuring, and maintaining cloud security solutions/tools. Additionally, AI/Cloud Security Engineer communicates findings, incidents, and concerns to security team members and leadership in a timely manner. The AI/Cloud Security Engineer should possess a strong background in AI usage to secure MedReview’s Cloud and AI Infrastructure. This role is onsite Monday - Thursday and remote on Fridays. 

Job Responsibilities: 
  • Standardizing Azure Security best practices, processes, and procedures.
  • Experience using AI/ML-driven security tools for anomaly detection, behavioral analysis, bias testing, and threat intelligence correlation.
  • Ability to design, deploy, and tune AI-based security models to identify malicious traffic, lateral movement, and zero-day threats.
  • Proficiency in integrating AI-powered SIEM, SOAR, NDR, and XDR platforms to automate incident detection and response.
  • Knowledge of adversarial AI risks, including model poisoning, evasion attacks, and data integrity threats, and how to mitigate them.
  • Experience using AI to reduce false positives, prioritize alerts, and improve mean time to detect (MTTD) and respond (MTTR).
  • Extensive Knowledge of utilizing and implementing Microsoft Purview and all its features. DLP, Auditing, etc.
  • Microsoft Entra Internet Access, Microsoft Entra Private Access, and Global Secure Access
  • M365 Compliance and Security Centers
  • Collaborating with team members to develop and document security standards and policies that align with industry’s best practices.
  • Finding gaps with the current security posture and assisting with finding new security products, installation, configuration, and policies & procedures.
  • Monitoring cloud infrastructure for security breaches. Security incident response and forensic investigation.
  • Investigations into how incidents and/or breaches occur and Root Cause Analyses (RCA) as a member of the incident response team.
  • Participation in security tabletop exercises.
Required Experience:
  • Very strong hands on 5-10 years' experience in Cloud Information Security and AI Security Engineering.
  • Must demonstrate hands-on experience levering AI and machine learning technologies to enhance overall security.
  • Strong Identity and Access Management (IAM), Role-Based access Control (RBAC) experience
  • Strong Purview Environment Experience
  • Experience monitoring Cloud Infrastructure and systems for security breaches or intrusions and working with SOC team to remediate.
  • Experience in some specific vertical industry (Healthcare) preferred.
  • Documentation of security tools, deployment configuration, incident reports, etc.
  • CISSP, CISM, CISA, CCSP, ITIL, IaaS, PaaS, SaaS, Azure Security Engineer Associate, or other related certification preferred.
  • Ability to communicate technical information in a clear manner, both written and verbally, to end users
  • Experience with HIPAA, HITRUST, ISO 42001 ISO 27001, ISO 27002, URAC regulations and awareness and/or experience with CMS, NIST and other healthcare related regulations preferred.
  • Availability to work nights and weekends during (un)planned outages and other special circumstances, with 24/7 accountability.
  • Availability to enter on call rotation.
  • Ability to lift 50 lbs.

Key Skills

Ranked by relevance

ai cloud incident response identity and access management microsoft purview machine learning cloud security hipaa cisa cism ccsp nist saas siem paas
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Posted
Mar 06, 2026
Type
Full-time
Level
Entry
Location
New York

Industries

Wireless Services Telecommunications Communications Equipment Manufacturing

Categories

Information Technology

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