About the Role

We are seeking an exceptional Distinguished Engineer to drive the technical vision and architecture for next-generation security analytics and AI-powered capabilities within Netskopes 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 automationdirectly influencing the product roadmap and technical strategy for Netskopes 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 worlds most security-conscious organizations.

Required Skills and Experience

Distinguished Technical Expertise

• 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 TigerGraph 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 (TensorFlow PyTorch LangChain LangGraph)
• Deep understanding of data engineering including:
• Streaming data architectures (Kafka Flink Pulsar)
• Large-scale data storage (ClickHouse Snowflake BigQuery data lakes)
• ETL/ELT pipeline design and optimization
• Real-time and batch processing paradigms

AI/ML for Security Specialization

• 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 analysis
• Security knowledge base construction
• Deep understanding of embedding models and semantic representation of security concepts
• Experience with prompt engineering fine-tuning and LLMOps best practices

Technical Leadership Capabilities

• Proven ability to influence without authority across large organizations
• Track record of driving adoption of new technologies and architectural patterns
• Experience setting technical direction for products serving Fortune 500 enterprises
• Strong communication skills for presenting complex technical concepts to diverse audiences (engineers executives customers)
• Published thought leadership through conference talks blog posts patents or research papers
• Mentorship experience developing senior engineers and architects
• Strategic thinking ability to connect technical decisions with business outcomes

System Design & Architecture

• Expert in designing for non-functional requirements: scalability reliability security performance cost optimization
• Deep knowledge of cloud platforms (AWS Azure GCP) and cloud-native architectures
• Experience with microservices APIs and event-driven architectures
• Understanding of infrastructure as code and modern DevOps/SRE practices
• Expertise in performance optimization and capacity planning for large-scale systems

Preferred Qualifications

• Contributions to major open-source security or AI/ML projects
• Experience with advanced graph algorithms: community detection link prediction influence propagation
• Background in network security intrusion detection or malware analysis
• Familiarity with agent-based AI systems and multi-agent architectures
• Knowledge of adversarial ML and robustness in security contexts

Technical Environment

You will work with cutting-edge technologies including:

• Languages: Python Go
• AI/ML Stack: TensorFlow PyTorch LangChain LangGraph OpenAI API Anthropic Claude
• Graph Technologies: Neo4j TigerGraph Apache AGE graph algorithms libraries
• Data Processing: Apache Kafka Apache Flink Apache Spark ClickHouse
• Cloud Platforms: AWS Azure GCP (multi-cloud architecture)
• Container Orchestration: Kubernetes Docker
• Observability: Prometheus Grafana distributed tracing

What We Offer

• Opportunity to work on cutting-edge problems at the intersection of AI and cybersecurity
• Technical autonomy and influence over critical architectural decisions
• Collaboration with world-class engineers researchers and security experts
• Competitive compensation including base salary equity and comprehensive benefits
• Flexible work arrangements (remote or hybrid options available)
• Professional development budget for conferences training and research
• Access to latest technologies and compute resources for innovation
• Patent and publication support for research contributions
• Work-life balance with flexible schedules and unlimited PTO
• Impact at scale solving real-world security challenges for global enterprises

About Working at Netskope

Join a company thats redefining cloud security through innovation and technical excellence. Our distinguished engineers shape the future of security technology while working in a culture that values:

• Technical depth over hierarchy - the best ideas win
• Innovation and experimentation - failure is part of learning
• Open collaboration - working across teams and disciplines
• Customer obsession - building solutions that matter
• Continuous learning - staying at the forefront of technology

Were a Certified Great Place to Work with a transparent culture where technical leaders from diverse backgrounds collaborate to solve hard problems. Our team of 3000 employees serves the worlds largest enterprises with solutions that protect their most critical assets.

#LI-SC1