Staff Software Engineer, AI/Security Platform

What you'll do

• Design and build systems that combine security data and foundation models to predict and detect threats.
• Prototype and test new AI features for decoding events and predicting anomalies with security researchers.
• Develop an AI DevOps pipeline to facilitate rapid experimentation with data, knowledge bases, and model iterations.
• Architect a distributed platform to correlate trillions of signals into explainable findings for triage agents.
• Co-design AI-enhanced threat detection workflows that are scalable and intuitive for security analysts.
• Build and maintain pipelines for ingesting, parsing, and normalizing large-scale security telemetry.
• Implement RAG and GraphRAG search pipelines using vector databases like FAISS or Pinecone.
• Optimize training workloads for large language models and specialized architectures like GNNs or GCNs.

What we're looking for

• Must have a Bachelor's degree with 8+ years of related experience or a Master's degree with 6+ years of related experience.
• Experience in distributed systems design and implementation, specifically focusing on storage systems and access layers.
• Experience implementing data platforms, including data lakes and warehouses.
• Proficiency in Python for building scalable backend services, APIs, and automation workflows.
• Experience with DevOps/SecOps practices, including CI/CD pipelines, version control, and automated testing frameworks.
• Experience designing agentic systems that perform coding tasks.
• Fluency in security telemetry data sources such as endpoint logs, network traffic, and cloud audit trails.
• Experience developing RAG or GraphRAG pipelines and integrating large language models into real-world workflows.