Cybersecurity Specialist

Internet Security, Internet Security, Software Development, Application Programming Interface (API), Python Programming/Scripting Language, Error Handling, Modeling Languages, Semantic Search, Software as a Service (SaaS), Machine Tool, * 6+ years of relevant experience in a software development role and security engineering role

• Proficiency in Python/Go and agent development frameworks including a deep understanding of LLM APIs and capabilities
• Large language model prompt engineering and output parsing, building reliable agentic workflows, with error handling and failure recovery
• Incorporating monitoring and observability for agent systems
• Experience developing with Model Context Protocol servers, vector databases, semantic search, and security product APIs like CrowdStrike Falcon Platform
• Proficiency in developing solutions for Endpoint Management, Detection, and Response tooling, specifically for CrowdStrike or similar SaaS products
• Ability to work with peer security teams in collaborative ways .
• Understanding of the standard development processes (TDLC/SDLC/ETLC) and development specific tools are a plus .
• Strong understanding of endpoint management, systems administration, and operating system internals (Windows, Mac, Linux) .
• Highly motivated self-starter who enjoys engineering challenges, learning new tools, and technology .
• Excellent problem-solving skills and the ability to analyze data to troubleshoot and resolve complex IT issues .
• Effective written and verbal communication skills to collaborate with cross-functional teams and present findings to management .
• Deep knowledge of Kubernetes and Container Networking (OVN-Kubernetes/CNI).

Education

• Bachelor’s degree/University degree or equivalent experience .
• Master’s degree preferred.

Required Skillset:

• Expertise in developing AI-powered security engineering solutions and endpoint management automation using Python, Go, LLMs, and agentic frameworks to improve operational efficiency, monitoring, and incident response across Windows, macOS, and Linux environments.

• Skilled in integrating security platforms, APIs, SIEM technologies, and endpoint detection and response solutions to deliver scalable automation, enhanced visibility, and proactive risk management