What Makes the Role Special
In this role, you won’t just be implementing known solutions — you’ll be deeply involved in researching emerging threats, conceptualizing novel defense mechanisms, and developing pioneering tools and techniques that shape the future of cybersecurity. Your work will have a direct and tangible impact on protecting critical digital assets worldwide.
Tech Stack
- Golang, Python (basic), SQL
- Docker, Kubernetes, CI/CD
- RabbitMQ, Redis
- Elasticsearch
- LLM, DNN
- gRPC, Protobuf, network traffic analysis
Key Responsibilities
- Investigate the latest malware, attack vectors, vulnerabilities, and academic findings to understand the evolving threat landscape and explore new defensive or offensive approaches.
- Design and build experimental software, tools, or algorithms to test innovative security ideas (e.g., new detection heuristics, encryption methods, or deception techniques).
- Analyze malware samples or exploits to uncover their behavior, identify indicators of compromise, and develop countermeasures.
- Process and interpret large datasets (e.g., network traffic, logs, threat intelligence) to identify anomalies or develop models — sometimes using ML/AI — for threat detection or prediction.
- Build custom scripts and tools to automate research workflows, simulate attacks, or analyze security data more effectively.
- Design and execute experiments to validate the effectiveness of new security concepts or prototypes in controlled environments.
- Work closely with other researchers, engineers, and product teams to share insights, brainstorm ideas, and transition successful R&D projects into real-world product features.
Requirements
- Proficiency in Golang (Middle / Middle+ / Senior level)
- Experience with Docker
- Hands-on experience with Kubernetes (k8s) and CI/CD pipelines
- Understanding of LLM (Large Language Models) and DNN (Deep Neural Networks)
- Experience with HTML/JS parsing/reading
- Familiarity with Elasticsearch
Additional Requirements
- Experience with RegEx, RabbitMQ (or other message brokers), Redis, SQL, and basic Python;
- Hands-on work with Telegram/Slack bots, network traffic research, and gRPC/Protobuf.