Client-Side Security Architect | AI-Driven Defense

Client Security Expert Job Description

Identify client-side security risks, propose solutions, and drive their implementation.

Lead offensive and defensive exercises on mobile clients, and drive remediation of business-related risk issues.

Analyze attack techniques used by black/gray-market actors, reconstruct attack mechanisms and details, and produce countermeasure plans.

Design and build systematic client-side defense solutions to improve defensive effectiveness and mitigation efficiency.

• Bachelor's degree or above in Computer Science or a related field.
• Familiar with low-level Android and iOS system architecture, security mechanisms, and reverse engineering.
• Familiar with typical cheating/fraud techniques used by black/gray-market actors.
• Proficient in leveraging AI Agents for security workflows, including reverse engineering, vulnerability discovery, attack reconstruction, and log/data analysis, with hands-on experience integrating AI tools into daily security operations.

• Client security experience in Web3/blockchain scenarios.
• Familiarity with browser-side security.

Own the overall architecture design for client-side security, ensuring high availability, high performance, and scalability of the system.

Design and optimize the backend data pipeline for security data collection, processing, and analysis, supporting various business scenarios.

Incorporate AI Agent capabilities to design intelligent security strategy operations and automated countermeasure architecture, improving strategy iteration speed and incident response speed.

• Bachelor's degree or above in Computer Science or a related field; 3+ years of experience in backend development or architecture design.
• Strong backend architecture skills, with expertise in high-concurrency, high-availability distributed system design.
• Familiarity with the client security domain (e.g., device fingerprinting, environment detection, behavioral risk control), with the ability to understand endpoint-collected data and design corresponding backend processing solutions.
• Familiar with AI Agent technical principles and application paradigms, with practical experience integrating AI capabilities into security architecture design.

• Risk control system architecture (e.g., rule engines).
• Security backend experience in Web3/blockchain scenarios.
• Architecture experience in security data platforms or threat intelligence systems.

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