Senior Developer

As a Developer, you will build AI-powered platforms that transform massive security telemetry into actionable intelligence. Your expertise in Python, SQL, Large Language Models (LLMs), and API development will drive sophisticated, data-driven security solutions.

You will collaborate closely with engineering and security research teams to develop AI-driven cybersecurity data processing agents that automate, enrich, and analyze security data for enhanced threat detection and response.

Responsibilities:

• 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.

Preferred Qualifications:

• 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.

Skills

LLM, LangGraph, Large Language Models, Python, SQL