Security Software Engineer (TDR)

About the Team The Security Engineering team at ByteDance builds and operates the core systems that protect one of the world's largest internet platforms and its global user community. We tackle challenges that span threat detection and response (TDR), infrastructure protection, and the emerging frontier of AI and LLM system security - all at the scale of TikTok and ByteDance. Our engineers combine deep systems-building expertise with strong security fundamentals to deliver high-impact, production-grade solutions in a fast-paced, globally distributed environment. If you thrive on ownership, love solving ambiguous problems, and want your work to safeguard products used by billions, this is the team.

• Design and build innovative threat detection, prevention, and response (TDR) systems that protect large-scale platforms, critical infrastructure, and globally distributed endpoints.
• Drive the security of LLM-based systems and AI agent architectures - identifying novel attack surfaces, developing defensive frameworks, and ensuring the safe deployment of AI-powered products at scale.
• Own the end-to-end lifecycle of distributed security systems operating across global regions - from deployment and capacity planning through production reliability, observability, and continuous iteration at scale.
• Partner closely with cross-functional global teams to turn vague problem statements and emerging threat patterns into clear product requirements, and ship high-impact security capabilities on aggressive timelines.Minimum Qualifications
• Bachelor's degree or above in Computer Science, Computer Engineering, or related fields, with at least 3 years of hands-on software development experience.
• Strong fundamentals in algorithms and data structures; proficiency in Go, Java, or Rust, with the ability to write clean, reliable, and production-ready code.
• Strong back-end development skills, including experience with cloud-native infrastructure, networking, and building services that run reliably at scale.
• Hands-on experience using AI-assisted and agentic development workflows to accelerate engineering velocity and quality, paired with a strong personal standard for building software quickly and well.
• Proven ability to think critically, break down complex or ambiguous problems, and formulate clear, practical solutions in a timely manner.

Preferred Qualifications

• Experience designing and implementing threat detection and response (TDR) systems, including detection engineering, automated response pipelines, and integration with modern security architectures.
• Familiarity with security challenges in LLM-based systems or AI agent architectures - such as prompt injection, model abuse, tool-use exploitation, or securing agentic workflows.
• Hands-on experience with cloud-native infrastructure (e.g., Kubernetes, observability stacks), large-scale streaming/batch data pipelines, and building distributed systems that power real-time detection and prevention at scale.
• Experience working in globally distributed teams and driving cross-functional projects end-to-end, from ambiguous problem definition through rollout and iteration.
• Demonstrated ability to lead technical initiatives, mentor engineers, and influence security direction beyond your immediate team.