Security Engineer

Role overview Connect cybersecurity and IT tools to an AI-driven security platform and help improve how it reasons through complex security tasks. The role also owns internal security across endpoints, cloud systems, software build pipelines, and AI subsystems, combining product integration with corporate security engineering.

Responsibilities - Plan and build integrations between security and IT tools and the platform's AI engine. - Provide shared data models and ways to execute functions across different integrated tools. - Apply security expertise to review and improve the system's automated reasoning and analysis. - Manage internal security posture across endpoints, cloud environments, build pipelines, and AI systems. - Contribute improvements that strengthen security in complex systems and environments.

Requirements - Deep practical knowledge of tools such as EDR, device management, identity, SIEM, SOAR, or XDR, including configuration, tuning, or API automation. - Experience implementing or supporting enterprise controls such as anti-malware policies, identity and access controls, detection engineering, or device management. - At least four years of software engineering experience and at least two years in corporate or enterprise security engineering; experience may overlap. - Development experience in a modern language such as Python, Rust, or Go. - Willingness to work extended hours and weekends when needed.

Nice to have - Practical interest in machine learning or generative AI, including agentic behavior, tool calling, knowledge graphs, or retrieval-augmented generation. - Experience improving security in complex environments and ability to learn new technologies amid ambiguity. - Eligibility and willingness to obtain a US Top Secret clearance.