Netskope · 11 hours ago
Distinguished Engineer, AI & Advanced Security Analytics
Santa Clara, CA
Full-time
Hybrid
Lead/Staff
15+ years expNetskope is a leading cloud security company focused on redefining Cloud, Network, and Data Security. They are seeking a Distinguished Engineer to drive the technical vision and architecture for next-generation security analytics and AI-powered capabilities within their platform, focusing on architecting transformative solutions that address complex security challenges at scale.
Cloud SecurityCyber SecurityEnterprise SoftwareSoftware
Hiring Manager
Scott Cadagan
Responsibilities
Drive the technical vision and architecture for next-generation security analytics and AI-powered capabilities
Architect and prototype transformative solutions that leverage AI/ML techniques, graph-based analytics, and real-time data processing
Collaborate with engineering teams, product management, security research, and executive leadership to define technical strategy
Make critical architectural decisions and ensure solutions meet the demands of security-conscious organizations
Qualification
Required
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
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
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
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
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
Benefits
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
Company
Netskope
Netskope is an IT firm that specializes in real-time security, stopping threats, protecting data, and network management services.
1001-5000 employees
H1B Sponsorship
Netskope has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (39)
2024 (70)
2023 (40)
2022 (97)
2021 (96)
2020 (37)
Funding
Current Stage
Public CompanyTotal Funding
$1.44BKey Investors
Morgan StanleyICONIQ GrowthSequoia Capital Global Equities
2025-09-18IPO
2024-09-30Series Unknown
2023-01-05Convertible Note· $401M
Leadership Team
Sanjay Beri
CEO & Founder
Krishna Narayanaswamy
Founder & CTO
Recent News
Help Net Security
2026-01-07
2025-12-25
Crowdfund Insider
2025-12-24
Company data provided by crunchbase