SOC Engineer (Incident Response)
8.0/10
Binance
Not specified
Remote
mid
about 6 hours ago
cryptotechweb3Data Loss Preventionincident responseprogrammingthreat huntingforensic analysisSIEMEDRcloud securityencryption
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Description
What you'll do
- •Design, deploy, and optimize DLP solutions across network, endpoint, and cloud.
- •Build and refine data classification schemes for sensitive assets (wallets, trading algorithms, 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 of 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 (e.g., macOS Swift endpoint protection, Unix socket monitoring).
- •Develop automation scripts, APIs, regexes and integrations to enhance detection and response.
- •Explore AI/LLM-driven methods for anomaly detection and response efficiency.
- •Ensure controls align with crypto and financial regulations (AML, KYC, GDPR, CCPA).
- •Support audits and regulatory reviews related to data protection.
- •Assess and mitigate data loss risks across trading platforms, onboarding systems, and blockchain infrastructure.
Conditions
- •Shape the future with the world’s leading blockchain ecosystem.
- •Collaborate with world-class talent in a user-centric global organization with a flat structure.
- •Tackle unique, fast-paced projects with autonomy in an innovative environment.
- •Thrive in a results-driven workplace with opportunities for career growth and continuous learning.
- •Competitive salary and company benefits.
- •Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team).
Requirements
- •4+ years in a SOC or security operations role with incident response focus.
- •Proven experience with DLP design, deployment, and monitoring.
- •Strong programming skills (macOS Swift, Unix socket programming, scripting).
- •Hands-on threat hunting, forensic analysis, and APT detection experience.
- •Familiarity with SIEM, EDR, and cloud security architectures.
- •Knowledge of encryption, tokenization, and data classification methods.
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