Security Software Engineer Intern - Network Security

ByteDance; San Jose (CA); On-site; USD 62,000 - 83,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Housing allowance

Paid holidays

Job summary

ByteDance is seeking a Network Security intern to contribute to cutting-edge, enterprise-grade security projects. You will work on short-term initiatives with real-world impact, gaining hands-on experience in a fast-paced environment and learning from seasoned security professionals.

Successful candidates commit to at least 3 months and will explore CC mitigation, bot behavior analysis, and WAF optimization.

Qualifications

• Undergraduate or postgraduate pursuing a degree in CS/CE/IS or other STEM disciplines.
• Familiarity with security concepts, vulnerabilities and exploitation techniques.
• Experience with at least one language (Python, Go, Java, JavaScript, C/C++).
• Problem-solving mindset with ability to work in a fast-paced, collaborative environment.

Responsibilities

• Intelligent CC (Challenge Collapsar) Mitigation: research and develop automated threshold setting using real-time traffic analysis to improve precision against HTTP flood attacks and reduce manual config.
• Smart Bot Behavior Detection: implement behavioral analysis to distinguish legitimate users from malicious bots by analyzing request patterns and anomalies.
• Operational Efficiency & Accuracy: optimize the WAF's adaptive learning to minimize false positives and improve detection of evasive 'gray market' activities.

Skills

Security concepts

Programming languages

Problem-solving

Team collaboration

Education

CS/CE/IS or STEM degree

Job description

ByteDance is seeking a Network Security intern to contribute to cutting-edge, enterprise-grade security projects. You will work on short-term initiatives with real-world impact, gaining hands-on experience in a fast-paced environment and learning from seasoned security professionals.

Successful candidates commit to at least 3 months and will explore CC mitigation, bot behavior analysis, and WAF optimization.