SOC Engineer (Incident Response)

5 hours, 36 minutes ago
Full-time
Mid Level
Cybersecurity
Binance

Binance

Binance operates as a leading blockchain ecosystem and digital asset exchange, integrating digital technology with financial services to facilitate the trading and management of cryptocurrencies.

Capital Markets
5K-10K
Founded 2017
$10M raised

Description

  • Design, deploy, and optimize DLP solutions across network, endpoint, and cloud environments.
  • Build and refine data classification schemes for sensitive assets such as wallets, trading algorithms, and customer PII.
  • Configure DLP policies to prevent data exfiltration while minimizing false positives.
  • Monitor, analyze, and tune alerts and incidents for continuous improvement.
  • Lead investigations into DLP incidents and insider threats.
  • Conduct threat hunting and forensic analysis of data exfiltration attempts.
  • Integrate DLP monitoring into broader SOC workflows and incident response playbooks.
  • Build custom DLP tools and integrations, including endpoint protection and Unix socket monitoring solutions.
  • Develop automation scripts, APIs, regexes, and integrations to improve detection and response.
  • Explore AI/LLM-driven methods to improve anomaly detection and response efficiency.
  • Ensure controls align with crypto and financial regulations such as AML, KYC, GDPR, and CCPA.
  • Support audits and regulatory reviews related to data protection.
  • Assess and mitigate data loss risks across trading platforms, onboarding systems, and blockchain infrastructure.

Requirements

  • 4+ years of experience in a SOC or security operations role with an incident response focus.
  • Proven experience with DLP design, deployment, and monitoring.
  • Strong programming skills, including macOS Swift, Unix socket programming, and scripting.
  • Hands-on experience with threat hunting, forensic analysis, and APT detection.
  • Familiarity with SIEM, EDR, and cloud security architectures.
  • Knowledge of encryption, tokenization, and data classification methods.

Benefits

  • Competitive salary and company benefits.
  • Work-from-home arrangement, depending on business team needs.
  • Opportunity to work with world-class talent in a global organization.
  • Flat structure with autonomy in an innovative, fast-paced environment.
  • Career growth opportunities and continuous learning.

Interested in this position?

Apply directly on the company website

Apply Now

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