About the job
Welcome to the Daangn Team!
At Daangn, we strive to create an environment where individuals can grow alongside the company's success.
We are here to assist you in reaching that moment of joy while working with wonderful colleagues.
Introducing the Security Team
The Security Team aims to ensure that Daangn provides services securely. We defend against external attacks and prevent the leakage of valuable internal information. All our activities comply with various information protection laws and regulations. By understanding Daangn's business model, we provide clear standards that are implemented technically. Through these efforts, we create a reliable service that users can trust.
Key Responsibilities
- Assess and improve security risks in AI/ML-based service environments.
- Audit and manage access controls and security configurations for AI service components, including training data, model files, APIs, and infrastructure.
- Monitor and respond to security issues in LLM and generative AI environments, such as prompt injection and data leaks.
- Analyze AI service logs to detect anomalies, investigate security events, and resolve issues.
- Conduct security vulnerability assessments and actions during model deployment and operation.
- Establish and continuously improve security guidelines and policies.
We Seek Candidates Who:
- Have experience in vulnerability assessments, penetration testing, or incident response.
- Are familiar with LLMs and understand the operational mechanisms of prompt-based services.
- Have a foundational understanding of cloud architecture (IAM, networking, storage) in platforms like AWS, GCP, or Azure.
- Possess basic knowledge of AI/ML or LLM service structures.
- Have experience in log analysis and root cause identification.
- Are proactive in addressing security issues, focusing on improvements rather than just reporting.
Preferred Qualifications:
- Understanding of ML pipelines (data collection → training → deployment → monitoring).
- Experience with container environments such as Docker and Kubernetes.
- Have at least one year of experience in security, cloud, backend, or ML engineering.
- Have experience in improving repetitive tasks through security automation or scripting.
- Regularly learn about and share new AI security issues or trends.
Additional Information
- There is a 3-month probation period for full-time hires.
- As per the Employment Promotion and Vocational Rehabilitation of Persons with Disabilities Act and the Act on the Honorable Treatment and Support of Veterans, individuals with disabilities and veterans will receive preferential hiring.