Posted on: 09/10/2025
Description :
- Build natural language interfaces for querying complex security data.
- Design APIs and integration layers for AI-powered security analytics platforms.
- Use Large Language Models (LLMs) for data enrichment and analysis to build AI-powered cybersecurity workflows.
- Design and implement intelligent agents to streamline threat intelligence analysis.
- Collaborate with security researchers, threat analysts, and engineers to enhance data-driven security capabilities.
- Ensure high-quality software development through rigorous testing, documentation, and best practices.
Requirements :
- 3+ years of experience in software development, preferably in cybersecurity telemetry workflows.
- Strong proficiency in Python and SQL for advanced data processing.
- Experience integrating Large Language Models (LLMs) using LangGraph and building AI agents.
- Expertise in Databricks, Apache Spark for scalable data analytics.
- Hands-on experience developing REST APIs for data services and integrations.
- Expertise in cloud-based data processing on AWS.
- Experience with modern development methodologies such as Agile and Kanban.
- Bachelor's degree in computer science, Engineering, or equivalent technical experience.
- Experience with cybersecurity telemetry (logs, alerts, network traffic, SIEM data, etc. ) and a strong understanding of data engineering principles.
- Familiarity with threat intelligence frameworks (MITRE ATT& CK, etc. ).
- Deep expertise in security data analysis and experience with AI-driven security analytics platforms.
- Ability to translate complex security challenges into AI-powered solutions.
- Advanced degree in Computer Science, Cybersecurity, or a related field.
Did you find something suspicious?