Client Security Expert/Architect

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.

Requirements:

• 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.

• Candidates with the following experience will be preferred:

  • Client security experience in Web3/blockchain scenarios.

  • Familiarity with browser-side security.

Client Security Architect

Job Description:

• 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.

Requirements:

• 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.

• Candidates with the following experience will be preferred:

  • 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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