Bybit

Cryptocurrency exchange offering spot and derivatives

Principal Security Operations Engineer

Offensive Security & TestingConfirmed live in the last 24 hours

Full-timeNo salary listedRemote

About the Job

Requirements

Proficiency in cybersecurity fundamentals, including TCP/IP protocols, network architecture, identity authentication, access control, and the principles and configurations of common security devices.
Proficiency with common attack techniques and red-team toolchains, including Sliver, Cobalt Strike, NPS, Burp Suite, Metasploit, Nmap, Masscan, Frida, and Impacket.
Familiarity with the security mechanisms, logging systems, permission models, and common usage of Windows, Linux, and macOS.
Familiarity with common web frameworks, API architectures, microservice structures, containers, and security risks in Kubernetes environments.
Proficiency in penetration testing and red-team processes, including information gathering, vulnerability scanning and exploitation, intranet penetration, privilege escalation and maintenance, lateral movement, data discovery, and trace cleaning.
Familiarity with the principles and adversarial methods of enterprise security products, including WAF, EDR, SIEM, NDR, HIDS, zero-trust gateways, bastion hosts, and identity authentication systems.
Ability to independently analyze vulnerabilities and write proofs of concept, reproduce and verify public vulnerabilities and zero-day/one-day risks, and assess their impact.
Proficiency in one or more programming or scripting languages, such as Python, Go, Bash, PowerShell, or JavaScript, with experience developing tools and building automation platforms.
Familiarity with large-scale model application architecture and technologies including prompts, RAG, embeddings, vector databases, agents, function calling, MCP, and plugin systems.
Understanding or practical experience with AI security testing methods, including prompt injection, jailbreaks, RAG data poisoning, sensitive information leakage, unauthorized tool invocation, model output security, and agent permission escape.
Ability to design security test cases for AI applications and evaluate model inputs and outputs, context isolation, data boundaries, permission controls, and tool invocation chain risks.
Experience using AI to assist security work, including vulnerability analysis, code auditing, intelligence analysis, attack path planning, report generation, or automated testing.
Familiarity with AI application security governance, including model call auditing, prompt security, sensitive data protection, content security detection, least-privilege permissions, and sandbox isolation.
More than five years of experience in red teaming, penetration testing, security research, or offensive and defensive exercises.
Familiarity with enterprise security architecture and the ability to improve defense capabilities, detection capabilities, and governance processes from an attacker's perspective.
Strong technical document writing and communication ability, including producing technical reports, review documents, attack-chain analysis, and security plans.
Priority is given to candidates holding security certifications such as OSCP, OSCE, CISSP, CISP, CEH, or CCSP.
Priority is given to candidates with experience in large-scale enterprise attack-and-defense drills, red-blue confrontation, major-event support, cloud attack and defense, or intranet penetration.
Priority is given to candidates with experience in AI security, large-scale model security, agent security, or building automated penetration testing or security tool platforms.

Responsibilities

Develop and execute penetration tests, red-blue confrontation exercises, and practical attack-and-defense drills that simulate real attacks and identify risks across enterprise networks, applications, cloud environments, work networks, and core business systems.
Lead or participate in red-blue exercises evaluating the defense team's attack detection, alert analysis, traceability analysis, emergency response, and recovery capabilities.
Design exercise scenarios based on real attack chains, covering external perimeter compromise, web vulnerability exploitation, phishing, privilege escalation, lateral movement, data discovery, privilege persistence, and defense evasion.
Use exercise reviews to drive ongoing improvements to security detection rules, response processes, asset governance, and security baselines.
Identify enterprise network exposure, internet-facing assets, cloud assets, APIs, supply-chain components, and third-party access risks; assess attack paths and recommend mitigations.
Monitor and collect threat intelligence, track vulnerability exploitation trends, advanced persistent threat methods, and red-team toolchain changes, and apply findings to enterprise exercises.
Model attack paths in business contexts and identify feasible attack chains from external exposure to core assets.
Track AI-related security risks in large-scale model applications, retrieval-augmented generation systems, agent systems, plugin and tool calls, MCP services, AI code generation, and automated workflows.
Evaluate the security of enterprise AI applications, agent systems, RAG knowledge bases, AI agent toolchains, and model services.
Research and verify large-model attack techniques, including prompt injection, jailbreaks, indirect prompt injection, data leakage, unauthorized tool invocation, model hallucination risks, RAG poisoning, vector database pollution, and sensitive information leakage.
Design AI red-team test cases and evaluation frameworks; verify model input and output security, context isolation, permission controls, tool-call chains, and data access boundaries.
Participate in building AI security protections, including prompt security policies, content security detection, tool-call permission restrictions, sensitive-data desensitization, audit tracking, agent sandbox isolation, and security evaluation benchmarks.
Explore AI for red-team automation, vulnerability analysis, attack-path planning, proof-of-concept verification, and report generation; advance the platformization and automation of attack-and-defense capabilities.
Develop and optimize red-team tools and scripts for vulnerability discovery, information collection, privilege escalation, lateral movement, credential analysis, traffic disguise, defense evasion, and automated report generation.
Research and validate new attack techniques and simulate real threats in enterprise business scenarios.
Build or contribute to automated security evaluation platforms integrating vulnerability scanning, audio fingerprint recognition, asset mapping, proof-of-concept verification, attack-path analysis, and AI agent orchestration.
Use large language model and agent technologies to explore automated penetration testing, intelligent vulnerability verification, code security auditing, and red-team task scheduling.
Evaluate critical business systems, internal networks, cloud environments, work endpoints, API services, and AI applications; produce technical reports detailing attack paths, impact analysis, and remediation recommendations.
Produce AI security evaluation reports covering attack examples, risk levels, exploitable paths, data leakage risks, permission-boundary issues, and governance recommendations.
Help improve enterprise security protections and optimize WAF, EDR, SIEM, NDR, HIDS, zero-trust, identity-permission, and log-auditing capabilities.
Translate attack-and-defense findings into security detection rules and baseline specifications, and develop security requirements and continuous governance mechanisms.
Collaborate with blue-team, security operations, infrastructure, research and development, algorithm, data, and business teams on attack reviews, vulnerability remediation, detection-rule optimization, and security capability development.
Provide security support to other departments through emergency-response exercises, secure-development consulting, pre-launch AI application reviews, and security training.
Participate in security design reviews for AI applications and security products, and advance security capabilities across research and development, testing, and production deployment.

Desired Qualifications

Familiarity with cloud platform security and cloud attack-and-defense techniques, including AWS, Azure, Google Cloud Platform, Tencent Cloud, and Alibaba Cloud.
Familiarity with Kubernetes, containers, service mesh, continuous integration and continuous delivery, DevSecOps, and supply-chain security.
Experience with zero trust, security operations, threat hunting, attack surface management, or vulnerability management platform construction.
Familiarity with MCP servers, AI agent frameworks, RAG systems, vector databases, large language model API gateways, and model security evaluation frameworks.
Experience in automated red teaming, AI penetration testing, intelligent vulnerability verification, agent orchestration, security knowledge bases, or security RAG system construction.
Experience submitting vulnerabilities or publishing CVEs, technical articles, open-source projects, community presentations, or released tools.
Familiarity with security frameworks such as MITRE ATT&CK, OWASP Top 10, OWASP LLM Top 10, and NIST AI Risk Management Framework.
Familiarity with new technologies, attack surfaces, and tools, and ability to research and share findings internally.

About Us

Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.

Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.

Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.

Job responsibilities

Red-blue confrontation drill

Responsible for developing and executing penetration testing, red-blue confrontation, and practical attack and defense drills that simulate real attack scenarios, identifying potential security risks in enterprise networks, applications, cloud environments, work networks, and core business systems.

Lead or participate in red-blue confrontation exercises to evaluate the defense team's ability in attack detection, alarm analysis, traceability analysis, emergency response, and recovery.

Based on the real attack chain design exercise scenario, covering extranet breakthrough, web vulnerability exploitation, phishing entrance, privilege escalation, lateral movement, Data Discovery, privilege maintenance, and defense bypass stages.

Combining the attack review results, promote the continuous optimization of security detection rules, response processes, asset governance, and security base lines.

Attack Surface Analysis and Threat Research

Identify enterprise network exposure, internet assets, cloud assets, APIs, supply chain components, and third-party access risks, evaluate attack paths, and provide mitigation recommendations.

Monitor and collect threat intelligence, track vulnerability exploitation trends, APT attack methods, red team toolchain changes, and apply them to enterprise attack and defense exercises.

Combining business scenarios to model attack paths and discover feasible attack chains from external exposure surfaces to core assets.

Tracking AI-related security risks, including security issues in large-scale model applications, RAG systems, Agent systems, plug-in/tool calls, MCP services, AI code generation, and automated workflows.

AI Security and Large Model Attack and Defense

Responsible for the security evaluation of AI applications, intelligent agent systems, RAG Knowledge Base, AI Agent toolchain, and model services within the enterprise.

Research and verify large-scale model-related attack techniques, including Prompt Injection, Jailbreak, Indirect Prompt Injection, data leakage, unauthorized tool invocation, security risks caused by model illusions, RAG poisoning, vector library pollution, sensitive information leakage, etc.

Design AI red team test cases and evaluation framework, and conduct security verification on model input and output, context isolation, permission control, tool call chain, and data access boundary.

Participate in the construction of AI security protection plan, including prompt word security policy, content security detection, tool call permission constraints, sensitive data desensitization, audit tracking, Agent sandbox isolation and security evaluation benchmark construction.

Explore the application of AI in red team automation, vulnerability analysis, attack path planning, PoC verification, and report generation, and promote the platformization, automation, and intelligence of attack and defense capabilities.

Tool and platform development

Develop and optimize Red Team-specific tools and scripts for vulnerability mining, information collection, privilege escalation, lateral movement, credential analysis, traffic disguise, defense bypass, and automated report generation.

Research and validate new attack techniques, and simulate real threats in combination with enterprise business scenarios.

Build or participate in the construction of automated security evaluation platform, integrated vulnerability scanning, audio fingerprint recognition, asset mapping, PoC verification, attack path analysis, AI Agent arrangement and other capabilities.

Combining LLM/Agent technology to explore automated penetration testing, intelligent vulnerability verification, code security auditing, and red team task scheduling.

Security evaluation and reporting

Conduct security evaluations on critical business systems, internal networks, cloud environments, work end points, API services, and AI applications, and output detailed technical reports, attack paths, impact analysis, and repair recommendations.

Output AI security evaluation reports for AI applications, including attack examples, risk levels, exploitable paths, data leakage risks, permission boundary issues, and governance recommendations.

Assist in improving enterprise security protection mechanisms, promote optimization of WAF, EDR, SIEM, NDR, HIDS, zero trust, identity permissions, and log auditing capabilities.

Transform attack and defense discovery into security detection rules, base line specifications, develop security requirements, and continuous governance mechanisms.

XFN collaboration

Collaborate with the blue team, security operation, infrastructure, R & D, algorithm, data, and business teams to complete attack review, vulnerability repair, detection rule optimization, and security capability building.

Provide security support to other departments of the enterprise, including emergency response drills, development security consulting, AI application pre-launch security review, and security training.

Participate in the security design review of AI applications and security products, and promote the advance of security capabilities in R & D, testing, and Pushonline.

Job requirements

Basic skills

Proficient in basic knowledge of cyber security, including TCP/IP protocol, network architecture, identity authentication, access control, principles and configurations of common security devices.

Proficient in common attack techniques and red team toolchains, such as Sliver, Cobalt Strike, NPS, Burp Suite, Metasploit, Nmap, Masscan, Frida, Impacket, etc.

Familiar with mainstream operating systems Windows, Linux, macOS security mechanism, log system, permission model and common use.

Familiar with common web frameworks, API architectures, microservice structures, containers, and security risks in Kubernetes environments.

Offensive and defensive technical capabilities

Proficient in penetration testing and red team processes, including information collection, vulnerability scanning, vulnerability exploitation, intranet penetration, privilege escalation, lateral movement, privilege maintenance, Data Discovery, and trace cleaning.

Familiar with the working principles and adversarial methods of enterprise-level security products, including WAF, EDR, SIEM, NDR, HIDS, zero-trust gateway, bastion host, and identity authentication system.

Possess independent vulnerability analysis and PoC writing capabilities, able to reproduce, verify, and assess the impact of public vulnerabilities and 0day/1day risks.

Proficient in one or more programming/scripting languages, such as Python, Go, Bash, PowerShell, JavaScript, etc., with experience in tool development and automation platform construction.

AI security capabilities

Familiar with the basic architecture of large-scale model applications, familiar with technical forms such as Prompt, RAG, Embedding, vector databases, Agent, Function Calling, MCP, plugin systems, etc.

Understand or practice AI security testing methods, including Prompt Injection, Jailbreak, RAG data poisoning, sensitive information leakage, unauthorized tool invocation, model output security, Agent permission escape, etc.

Able to design security test cases for AI applications, evaluate model input/output, context isolation, data boundaries, permission control, and tool invocation chain risks.

Experience in using AI to assist security work, including vulnerability analysis, code auditing, intelligence analysis, attack path planning, report generation, or automated testing.

Familiar with AI application security governance ideas, including model call auditing, prompt word security, sensitive data protection, content security detection, permission minimization, and sandbox isolation.

Experience requirements

More than 5 years of experience in red team, penetration testing, security research, or offensive and defensive exercises.

Candidates with experience in large-scale enterprise attack and defense drills, red-blue confrontation, HW/major support, cloud attack and defense, or intranet penetration are preferred.

Candidates with experience in AI security, large-scale model security, intelligent agent security, automated penetration testing platform or security tool platform construction are preferred.

Familiar with enterprise security construction system, able to promote defense capability, detection capability, and governance process optimization from an attack perspective.

Other capabilities

Priority will be given to those who hold security-related certifications such as ♀ P, OSCE, CISSP, CISP, CEH, CISSP, CCSP, etc.

Possess strong document writing and expression abilities, able to output high-quality technical reports, review documents, attack chain analysis, and security construction plans.

Possess good problem analysis ability, learning ability, teamwork ability, and stress resistance.

Be sensitive to new technologies, new Attack Surfaces, and new tools, and be able to proactively research and share internally.

Bonus points

Familiar with Cloud Computing Platform security and cloud attack and defense technologies, such as AWS, Azure, GCP, Tencent Cloud, Alibaba Cloud, etc.

Familiar with Kubernetes, containers, Service Mesh, CI/CD, DevSecOps and supply chain security.

Possess experience in zero trust, secure operation, threat hunting, Attack Surface management, and vulnerability management platform construction.

Familiar with MCP Server, AI Agent framework, RAG system, vector database, LLM API gateway, model security evaluation framework.

Experience in Automated Red Team, AI Penetration Testing, Intelligent Vulnerability Verification, Agent Orchestration, Security Knowledge Base or Security RAG System Construction.

Experience in vulnerability submission, CVE, technical articles, open source projects, topic sharing, or tool release in the security community.

Familiar with security frameworks such as MITRE ATT & CK, OWASP Top 10, OWASP LLM Top 10, NIST AI RMF, etc.

Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

About the Company

Bybit

Cryptocurrency exchange offering spot and derivatives

Bybit operates a cryptocurrency exchange that provides spot and derivatives trading, mining and staking products, and API access for retail and institutional clients worldwide. Its platform uses an ultra-fast matching engine to execute trades and offers multilingual customer support, aiming to deliver a fast, fair, and humane trading environment. Compared with rivals, Bybit emphasizes reliability, transparency, and strong service, backed by a team with backgrounds from investment banks and tech firms, and a global community. The company’s goal is to be the most trusted and dependable exchange in the emerging digital asset class.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Singapore, Singapore
Founded: 2018

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