Security Governance Engineer

Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. Responsibilities: Security Risk Discovery 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 Solution 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 Drive 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. Requirements: Education Experience Bachelor’s degree or higher in Computer Science, Information Security, or related fields. 5+ years of experience in security technology or operations, with a strong background in security governance and architecture. Familiarity with large-scale enterprise IT environments, multi-cloud/hybrid cloud models, and modern AI technology stacks . Technical Competencies 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 (A ... (truncated, view full listing at source)