Netskope, Inc.
Principal / Distinguished Engineer, Agentic AI Bengaluru, Karnataka, India
Netskope, Inc., Snowflake, Arizona, United States, 85937
Principal / Distinguished Engineer, Agentic AI
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 atNetskope Careers. Please follow us on LinkedIn and Twitter@Netskope .
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 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.
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 systemsMachine 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:
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
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
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 that’s 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
We’re 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 world’s largest enterprises with solutions that protect their most critical assets.
#LI-JB3
Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statutes, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer toNetskope's Privacy Policy for more details.
#J-18808-Ljbffr
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 atNetskope Careers. Please follow us on LinkedIn and Twitter@Netskope .
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 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.
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 systemsMachine 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:
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
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
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 that’s 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
We’re 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 world’s largest enterprises with solutions that protect their most critical assets.
#LI-JB3
Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statutes, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.
Netskope respects your privacy and is committed to protecting the personal information you share with us, please refer toNetskope's Privacy Policy for more details.
#J-18808-Ljbffr