Principal / Distinguished Engineer, AI & Advanced Security Analytics

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 automation directly 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.

• 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

• 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

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

• 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

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 ~3,000 employees serves the worlds largest enterprises with solutions that protect their most critical assets.

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