Cybersecurity Engineer- AI + Endpoint Security

• Leverage data from Endpoint Management, Detection, and Response tools’ real-time visibility capabilities to automate the monitoring endpoint health, application status, and performance issues across Windows, macOS, and Linux environments.
• Develop AI agents and assistants utilizing Model Context Protocol servers and third-party APIs to improve responsiveness of various security engineering and operations team
• Partner with security and engineering teams to integrate tooling with other enterprise systems (like SIEM tools) and provide critical support for IT-related incidents.
• Produce high-quality documentation and reports on system health, compliance status, and the effectiveness of IT automation efforts.
• Serve as a technology subject matter expert for internal and external stakeholders and provide direction for all firm mandated controls and compliance initiatives, all projects within the group and in creating a technology domain roadmap
• Ensure that all integration of functions meet business goals
• Define necessary system enhancements to deploy new products and process enhancements
• Recommend product customization for system integration
• Identify problem causality, business impact and root causes
• Exhibit knowledge of how own specialty area contributes to the business and apply knowledge of competitors, products and services
• Advise or mentor junior team members
• Impact the engineering function by influencing decisions through advice, counsel, or facilitating services

Internet Security, Endpoint Security, Artificial Intelligence (AI), Endpoint Security, Artificial Intelligence (AI), Operational Strategy, Security Infrastructure, Operational Improvement, Python Programming/Scripting Language, Microsoft Windows Operating System, 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., * 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
• Bachelor’s degree/University degree or equivalent experience
• Master’s degree preferred