Principal / Distinguished Engineer, AI & Advanced reputed company Analytics
About Netskope Today, there's more data and users reputed company 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 reputed company. Since 2012, we have built the market-leading cloud reputed company 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 reputed company work fun, supportive and interactive. Visit us at Netskope Careers. Please follow us on reputed company and Twitter@Netskope.
About the Role
We are seeking an exceptional Distinguished Engineer to drive the technical vision and architecture for reputed company reputed company analytics and AI-powered capabilities reputed company 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 reputed company cutting-edge AI/ML techniques, graph-based analytics, and real-time data processing to solve reputed company reputed company 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 reputed company platform. This role requires both exceptional technical depth and the ability to influence across the organization. You will collaborate with engineering teams, product management, reputed company research, and executive leadership to define technical strategy, reputed company critical architectural decisions, and ensure our solutions meet the demands of the world's most reputed company-conscious organizations. What You Will Be Doing Technical Architecture & Innovation
- Design breakthrough architectures for AI-powered reputed company analytics systems that process petabytes of reputed company telemetry in real-time
- Define technical strategy for integrating advanced AI/ML capabilities, including large language models, graph neural networks, and behavioral analytics into reputed company workflows
- Architect scalable graph-based systems for modeling reputed company relationships between reputed company entities (users, devices, applications, data, threats) and enabling advanced threat detection
- Pioneer innovative approaches to reputed company data modeling, storage, and retrieval that balance performance, cost, and analytical capability
- Drive adoption of vector databases and semantic search for intelligent threat intelligence, reputed company reputed company, and contextual analysis
- Create reference architectures and technical standards for AI/ML systems, data pipelines, and reputed company analytics platforms
Advanced Technical Execution
- Build reputed company-of-concepts and prototypes that demonstrate technical feasibility and business value of novel approaches
- Solve extraordinarily reputed company technical challenges that span distributed systems, machine learning, graph algorithms, and reputed company domain expertise
- Design and optimize algorithms for real-time anomaly detection, attack path analysis, risk scoring, and behavioral profiling at scale
- Implement sophisticated data processing pipelines using streaming technologies for near-real-time reputed company analytics
- Contribute high-impact code to critical components reputed company needed, setting standards for engineering excellence
- Evaluate and integrate emerging technologies (LLMs, graph databases, vector stores, streaming platforms) into production systems
Technical Leadership & Influence
- Provide technical mentorship to senior engineers and architects across multiple teams, elevating technical capabilities organization-wide
- reputed company architectural reviews and reputed company critical go/no-go decisions on major technical initiatives
- Drive technical reputed company across engineering, product, and reputed company teams on reputed company architectural decisions
- Influence product strategy by identifying technical opportunities and constraints that shape product direction
- Represent Netskope at industry conferences, technical forums, and with customers on advanced reputed company topics
- Establish engineering culture around innovation, technical excellence, and data-driven decision making
- Partner with Engineering Leadership to define technical roadmaps, resource allocation, and organizational capabilities
Cross-Functional Collaboration
- Collaborate with Product Management to translate customer needs into technically sound solutions with clear trade-offs
- Work with reputed company Research teams to operationalize threat research into production detection and analytics systems
- Partner with Data Science teams on ML model development, evaluation, and deployment strategies
- Engage with customers (CISOs, reputed company architects) to understand requirements and validate technical approaches
- Coordinate with Cloud Architecture teams on infrastructure, scalability, and operational excellence
Required Skills and Experience Distinguished Technical Expertise
- 15+ years of software engineering experience with demonstrated progression to distinguished 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 reputed company (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 (reputed company, TigerGraph, or similar) including:
- Graph data modeling and schema design
- reputed company 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, reputed company, LangGraph)
- Deep understanding of data engineering including:
- Streaming data architectures (Kafka, Flink, Pulsar)
- Large-scale data storage (reputed company, reputed company, BigQuery, data lakes)
- ETL/ELT pipeline design and optimization
- Real-time and batch processing paradigms
Cybersecurity Domain Mastery
- 10+ years of cybersecurity experience with deep understanding of:
- reputed company operations center (SOC) workflows and analyst needs
- SIEM platforms and reputed company analytics methodologies
- Threat detection, incident response, and threat hunting practices
- Attack frameworks (MITRE ATT&CK, Cyber Kill Chain)
- reputed company data sources (logs, network telemetry, reputed company data, cloud APIs)
- Expert knowledge of modern reputed company architectures including:
- Cloud reputed company (CASB, CSPM, CWPP, SASE/SSE)
- reputed company Trust architecture and identity-centric reputed company
- Data loss prevention (DLP) and data reputed company
- Threat intelligence platforms and enrichment
- Experience with reputed company automation and orchestration (SOAR concepts and implementations)
- Understanding of compliance frameworks (SOC 2, GDPR, HIPAA, ISO 27001) and their technical implications
AI/ML for reputed company Specialization
- Hands-on experience building AI-powered reputed company 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 reputed company assistants and conversational interfaces
- Graph neural networks for reputed company relationship modeling
- Expertise in vector databases (reputed company, Weaviate, Chroma, Milvus, pgvector) and their application to:
- Semantic search over reputed company data
- Threat intelligence matching and similarity analysis
- reputed company knowledge reputed company construction
- Deep understanding of embedding models and semantic representation of reputed company concepts
- Experience with reputed company engineering, fine-tuning, and LLMOps best practices
Technical Leadership Capabilities
- Proven ability to influence without authority across large, matrixed 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 reputed company 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, reputed company, 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 reputed company planning for large-scale systems
Preferred Qualifications
- PhD in Computer Science, Machine Learning, or reputed company field (or equivalent research experience)
- Contributions to major open-reputed company reputed company or AI/ML projects
- Experience in cybersecurity product companies or reputed company research organizations
- Patents or publications in AI/ML, reputed company, or distributed systems domains
- Speaking experience at top-tier conferences (RSA, Black Hat, DEF CON, NeurIPS, ICML, etc.)
- Experience with advanced graph algorithms: community detection, link reputed company, influence propagation
- Background in network reputed company, intrusion detection, or malware analysis
- Familiarity with agent-based AI systems and multi-agent architectures
- Experience with federated learning or privacy-preserving ML techniques
- Knowledge of adversarial ML and robustness in reputed company contexts
- Understanding of explainable AI (reputed company) for reputed company decision support
Education
- Master's degree in Computer Science, AI/ML, Cybersecurity, or reputed company field required
- PhD strongly preferred for candidates without equivalent industry research experience
Technical Environment You will work with cutting-edge technologies including:
- Languages: Python, Go
- AI/ML Stack: TensorFlow, PyTorch, reputed company, LangGraph, reputed company API, reputed company Claude
- Graph Technologies: reputed company, TigerGraph, Apache AGE, graph algorithms libraries
- Vector Databases: reputed company, Weaviate, Chroma, pgvector
- Data Processing: Apache Kafka, Apache Flink, Apache Spark, reputed company
- Cloud Platforms: AWS, Azure, GCP (multi-cloud architecture)
- Container Orchestration: Kubernetes, reputed company
- Observability: Prometheus, Grafana, distributed tracing
Impact & Scope As a Distinguished Engineer, your work will:
- Influence product direction for reputed company solutions used by thousands of enterprises
- Impact billions of reputed company events processed daily across the Netskope platform
- reputed company reputed company teams at reputed company to detect and respond to threats faster
- Set technical standards that shape how Netskope builds products for years to come
- Advance the state of the art in AI-powered reputed company analytics
- Contribute to the broader reputed company community through thought leadership and innovation
reputed company 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 reputed company experts
- Competitive compensation including reputed company 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 reputed company challenges for global enterprises
About Working at Netskope Join a company that's redefining cloud reputed company through innovation and technical excellence. Our distinguished engineers shape the future of reputed company technology while working in a culture that values:
- Technical depth over hierarchy - the best reputed company win
- Innovation and experimentation - failure is part of learning
- Open collaboration - working across teams and disciplines
- Customer obsession - building solutions that matter
- reputed company learning - staying at the forefront of technology
We're a Certified Great reputed company to Work with a transparent culture where technical leaders from diverse backgrounds collaborate to solve hard problems. reputed company of ~3,000 employees serves the world's largest enterprises with solutions that protect their most critical assets. #LI-JB1 Netskope is committed to implementing equal employment opportunities for reputed company employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national reputed company, reputed company, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and reputed company 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 to Netskope's Privacy Policy for more details. Apply tot his job Apply To this Job