You’ll Be Doing

📍Security Risk Identification and Assessment: 📍Security Architecture Review: Conduct comprehensive security architecture assessments for new and existing systems using Threat Modeling methodologies to identify structural vulnerabilities before they go live. 📍AI & MCP Security Assessment: Evaluate the security posture of Artificial Intelligence implementations, specifically focusing on MCP integrations, LLM interactions, and AI Agent permissions to prevent prompt injection, unauthorized data access, and excessive agency. 📍Access Control Assessment: Evaluate permission control mechanisms across enterprise systems to identify over-provisioning and control deficiencies. 📍Cloud Infrastructure Review: Audit cloud platform configurations and overall architecture to detect potential security vulnerabilities. 📍Data Flow Analysis: Evaluate technical safeguards during critical data flows to uncover leakage risks. 📍System Review: Conduct comprehensive system security reviews and design robust security hardening solutions. 📍Technical Governance Plan Design: 📍AI Governance Framework: Design security standards and guardrails for AI adoption, ensuring that MCP servers, AI clients, and data connectors adhere to strict authentication and authorization policies. 📍Remediation Framework Design: Design technical remediation plans and long-term governance frameworks based on identified issues. IAM Optimization: Design optimization paths for IAM systems based on the Principle of Least Privilege (PoLP). 📍Data Protection Strategy: Formulate technical control strategies for sensitive data across its entire lifecycle. 📍Tool Evaluation: Evaluate and integrate security technologies into the overall security architecture. 📍Remediation Promotion and Verification: 📍Cross-Functional Collaboration: Work with technical teams to drive effective implementation of security remediations. 📍Verification Testing: Design and execute technical verification tests (e.g., penetration testing) to confirm remediation effectiveness. 📍Tracking Mechanism: Establish a tracking mechanism for security improvements and potential regression risks. 📍Continuous Review & Reporting: Regularly review projects and consolidate results into strategic reports.

What We Look For In You

Education and Experience: 📍Bachelor’s degree or higher in Computer Science, Information Security, or a related technical field. 📍At least 5 years of experience in security technology or security operations, with clear experience in security governance. 📍Familiarity with large-scale enterprise IT environments, multi-cloud/hybrid cloud models, and modern AI technology stacks. 📍Technical Skills: 📍Architecture & Threat Modeling: Proficiency in performing Security 📍Architecture Reviews and Threat Modeling (e.g., STRIDE, PASTA); ability to dissect complex microservices and distributed systems. 📍AI Security Knowledge: Deep understanding of AI/LLM security risks (e.g., OWASP Top 10 for LLM), including secure design of MCP, RAG (Retrieval-Augmented Generation) architectures, and AI Agent sandboxing. 📍Cloud Security: Proficient in cloud security architecture (AWS, Alibaba Cloud). IAM Knowledge: Strong understanding of identity protocols (RBAC, OAuth, ABAC) and their integration. Data Security: Technical knowledge of DLP, encryption, and data masking best practices. Automation & Tools: Capability in Python/Shell scripting and familiarity with security tools (SIEM, WAF, etc.).

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