Distinguished Engineer, Netskope
AI & Advanced Security Analytics
Office located in Santa Clara, CA
Security cloud platform
Be an early applicant
Security cloud platform
1001+ employees
Be an early applicant
Office located in Santa Clara, CA
1001+ employees
Company mission
To redefine cloud, network, and data security, empowering security teams with the right balance of protection and speed they need to secure their organisation's digital transformation journey.
Role
Who you are
- 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
- 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
- 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
Desirable
- 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
What the job involves
- 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
Our take
As more and more businesses switch to the cloud, there is a growing concern over data breaches and outages, and companies need to invest more in stabilising their security tools. Netskope is a leader in cloud security, helping the world’s largest organisations take full advantage of the cloud and web without sacrificing their resilience to attacks.
The company's patented Cloud XD technology eliminates security blind spots, with the capability to quickly target and control activities across thousands of cloud services and millions of websites. With full control from one cloud, users benefit from 360-degree data protection that guards data everywhere, with advanced threat protection that stops more elusive attacks.
At the beginning of 2023, Netskope raised $401 million in funding that has been used to advance its secure access service edge (SASE) efforts. It continues to release new products, as well as report on the development of the cyberthreat landscape, with the potential to become a driving force and voice for improved cloud security.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jan 2023
$401m
CONVERTIBLE
Jul 2021
$300m
SERIES H
Total funding: $1.4bn
Company benefits
- Family Medical Leave
- Flexible Work Schedule
- Remote Work Program
- Dental Benefits
- Disability Insurance
- Flexible Spending Account (FSA)
- Health Insurance Benefits
- Life Insurance
- Vision Benefits
- Commuter Benefits
- Company Outings
- Stocked Kitchen
- 401(K)
- Employee Stock Purchase Plan
- Paid Holidays
- Paid Sick Days
Company HQ
Santa Clara, CA
Leadership
Sanjay Beri
(CEO)Previously worked for 8 years at Juniper Networks, holding various positions such as VP and General Manager of Access/Security and Pulse Business Unit, and Executive Sponsor of Juniper Engineering Operations.
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