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SOC Engineer (Incident Response & Python Automation)

📅 Jun 1
PythonGolangJavaAWS

📜 Description

  • Design, develop, and maintain SOC security platforms and tooling, focusing on SIEM, SOAR, and security automation.
  • Develop Python-based services, scripts, automation workflows, and security integrations with SIEM, EDR, AWS, and internal security platforms.
  • Build and maintain AWS-based security services and integrations, including EC2, S3, Lambda, IAM, and CloudWatch.
  • Support SIEM operations and detection engineering, including log ingestion, parsing, normalization, correlation, and detection rule development.
  • Develop detection use cases and common security threat models based on attack scenarios and real-world security incidents.
  • Participate in SOC on-call rotation and incident response, including alert triage, investigation, containment, and post-incident analysis.

🛠️ Requirements

  • Hands-on Python development experience is required; experience with Golang or Java is a plus.
  • Hands-on experience with AWS, particularly EC2, S3, Lambda, IAM, and CloudWatch.
  • Experience developing production-quality services, automation, APIs, or internal security tools.
  • Practical experience using SIEM platforms for security monitoring, log analysis, and alert investigation.
  • Good understanding of SOC operations and Incident Response (IR), including alert triage and security incident investigation.
  • Understanding of common security threats and experience developing security detections, threat models, or SIEM use cases.
  • Familiarity with EDR, security telemetry, REST APIs, Git, Docker, and Linux.
  • Strong problem-solving, troubleshooting, and communication skills.

✨ Benefits

  • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team).
Full job description
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. Why Binance • 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) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Responsibilities

  • Design, develop, and maintain SOC security platforms and tooling, with a primary focus on SIEM, SOAR, and security automation.
  • Develop Python-based services, scripts, automation workflows, and security integrations with SIEM, EDR, AWS, and internal security platforms.
  • Build and maintain AWS-based security services and integrations, including EC2, S3, Lambda, IAM, and CloudWatch.
  • Support SIEM operations and detection engineering, including log ingestion, parsing, normalization, correlation, and detection rule development.
  • Develop detection use cases and common security threat models, based on attack scenarios and real-world security incidents.
  • Participate in SOC on-call rotation and incident response, including alert triage, investigation, containment, and post-incident analysis.
  • Work with SOC analysts and security teams to improve security automation, detection coverage, and platform capabilities.
  • Requirements

  • Hands-on Python development experience is required. Experience with Golang or Java is a plus.
  • Hands-on experience with AWS, particularly EC2, S3, Lambda, IAM, and CloudWatch.
  • Experience developing production-quality services, automation, APIs, or internal security tools.
  • Practical experience using SIEM platforms for security monitoring, log analysis, and alert investigation.
  • Good understanding of SOC operations and Incident Response (IR), including alert triage and security incident investigation.
  • Understanding of common security threats and experience developing security detections / threat models / SIEM use cases.
  • Familiarity with EDR, security telemetry, REST APIs, Git, Docker, and Linux.
  • Strong problem-solving, troubleshooting, and communication skills.
  • Nice-to-have

  • 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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