Cyberoo.AI is a leading innovator in cybersecurity, leveraging cutting-edge generative AI to protect businesses and individuals from evolving digital threats.

Cyberoo.AI has been defending organisations and their customers from cybercrime since 2016. We operate 24/7, leveraging both cutting edge generative AI and human expertise to rapidly detect, disrupt, and takedown content targeting your brand and customers.

Currently seeking a Software Engineer to join us and create a safer digital world where people and organisations can thrive without fear of cyber attacks.

Responsibilities:

• Participate in the full lifecycle development of cybersecurity and AI products, including requirements analysis, architecture design, coding, testing, and deployment.
• Optimize the performance and efficiency of generative AI models in scenarios such as threat detection and content analysis.
• Collaborate closely with the cybersecurity team to design and implement automated threat interception and removal tools.
• Maintain and optimize existing systems to ensure efficient operation and security.
• Work closely with the team to conduct code reviews, ensuring code quality and adherence to best practices.
• Track and resolve software vulnerabilities and issues to ensure product stability.
• Maintain the codebase of core platforms, ensuring security and scalability.
• Stay updated with cutting-edge technology trends, driving the integration and innovation of AI and cybersecurity technologies.

Skills/ Experience Required:

• Work Experience: At least 10 years of software programming experience.
• Industry Experience: Over 2 years of programming experience in cybersecurity, finance, or artificial intelligence industries is preferred.
• Experience in software quality control, automated testing, and DevOps.
• Capable of Continuous Integration (CI) and Continuous Delivery (CD).
• Understand machine learning and deep learning, and be familiar with common algorithms such as decision trees, random forests, SVMs, neural networks, and so on.
• Be able to build AI models to analyze network security data, support the optimization and evaluation of AI models.
• Familiar with distributed systems, microservices architecture, and cloud platforms (AWS/Azure/GCP).
• Proficient in databases (SQL/NoSQL), containerization technologies (Docker/Kubernetes), and DevOps toolchain.
• Being proficient in both English and Mandarin is preferred.

Qualifications required:

Bachelor's degree or higher in Computer Science, Artificial Intelligence, Cybersecurity, or related fields.