Security – AI Cloud Engineer

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🕒 May 30

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Logo of New Charter Technologies

New Charter Technologies

501 - 1000 employees

Founded 2018

🔒 Cybersecurity

IT Managed Services • Cybersecurity • Healthcare

New Charter Technologies is a leading platform comprised of high-performing Managed Service Providers (MSPs) across North America, specializing in IT solutions for small and medium-sized businesses. They offer a comprehensive range of services including IT managed services, co-managed IT, consulting, outsourcing, and advanced cybersecurity. Their mission is to transform clients' IT needs from a necessary expense into a strategic advantage, leveraging modern technology and personalized service to enhance business productivity and innovation.

📋 Description

• Design, implement, and manage security controls for AI platforms and cloud environments used by Cyber74 clients (Microsoft 365 Copilot, Azure OpenAI, Google Workspace AI, and similar) • Configure and tune Data Loss Prevention (DLP) policies to prevent sensitive data exposure through AI tools and integrations • Develop and maintain alerting rules to detect abuse, anomalous behavior, and policy violations within AI-enabled platforms • Identify, remediate, and track security misconfigurations across AI and cloud environments using industry frameworks and tooling • Conduct security assessments of client AI deployments to identify gaps, risks, and areas for hardening • Collaborate with the vCISO and compliance teams to incorporate AI security considerations into broader client security programs • Document findings, configurations, and procedures; produce clear reports for both technical and executive audiences • Monitor the evolving AI security landscape and recommend new controls, tools, or policies as AI capabilities and threats develop • Support pre-sales and scoping conversations by contributing technical expertise to proposals and client discussions

🎯 Requirements

• 3+ years of experience in cloud security, security engineering, or a related role • Hands-on experience with Microsoft 365 security tools (Defender, Purview/DLP, Conditional Access, Sentinel) or equivalent Google/AWS platforms • Familiarity with AI platforms and their security surfaces: Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, Google Gemini, or similar • Experience configuring DLP policies, CASB solutions, or similar data security controls in cloud environments • Working knowledge of CSPM tools (Microsoft Defender for Cloud, Prisma Cloud, Wiz, or similar) for identifying misconfigurations • Understanding of zero-trust architecture principles and their application to AI workloads • Relevant certifications preferred: AZ-500, SC-200, SC-400, CCSP, or equivalent cloud/security certifications • Strong documentation and communication skills; ability to explain complex security concepts to non-technical stakeholders.

🏖️ Benefits

• Employee benefits • Professional development opportunities

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