Distinguished Engineer, AI & Advanced Security Analytics

About Netskope

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security.

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork.

From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on Linked In and Twitter @Netskope.

We are seeking an exceptional Distinguished Engineer to drive the technical vision and architecture for next-generation security analytics and AI-powered capabilities within Netskope's platform. This is a high-impact individual contributor role for a technologist who thrives at the intersection of artificial intelligence, large-scale data systems, and cybersecurity.

As a Distinguished Engineer, you will be responsible for architecting and prototyping transformative solutions that leverage cutting-edge AI/ML techniques, graph-based analytics, and real-time data processing to solve complex security challenges at massive scale. You will work on problems that span threat detection, risk assessment, behavioral analytics, and intelligent automation—directly influencing the product roadmap and technical strategy for Netskope's security platform.

This role requires both exceptional technical depth and the ability to influence across the organization. You will collaborate with engineering teams, product management, security research, and executive leadership to define technical strategy, make critical architectural decisions, and ensure our solutions meet the demands of the world's most security-conscious organizations.

• 15+ years of software engineering experience with demonstrated progression to senior technical roles
• Deep expertise in distributed systems architecture at massive scale (billions of events/day, petabyte-scale data)
• Proven track record architecting AI/ML systems in production environments, including experience with:
• Large Language Models (LLMs) and generative AI applications
• Retrieval-Augmented Generation (RAG) architectures and vector search systems
• Machine learning model deployment, monitoring, and MLOps practices
• Real-time inference systems and online learning
• Expert knowledge of graph databases and graph algorithms (Neo4j, Tiger Graph, or similar) including:
• Graph data modeling and schema design
• Complex graph queries and traversals (Cypher, Gremlin, or similar)
• Graph algorithms for community detection, centrality, path finding
• Large-scale graph processing and analytics
• Master-level proficiency in Python and modern ML/AI frameworks (Tensor Flow, PyTorch, Lang Chain, Lang Graph)
• Deep understanding of data engineering including:
• Streaming data architectures (Kafka, Flink, Pulsar)
• Large-scale data storage (Click House, Snowflake, Big Query, data lakes)
• ETL/ELT pipeline design and optimization
• Real-time and batch processing paradigms

• Hands-on experience building AI-powered security solutions such as:
• Behavioral analytics and user/entity behavior analytics (UEBA)
• Anomaly detection using unsupervised and semi-supervised learning
• Threat classification and automated triage systems
• LLM-based security assistants and conversational interfaces
• Graph neural networks for security relationship modeling
• Expertise in vector databases (Pinecone, Weaviate, Chroma, Milvus, pgvector) and their application to:
• Semantic search over security data
• Threat intelligence matching and similarity…