Netskope-posted 2 months ago
Full-time • Senior
Santa Clara, CA
1,001-5,000 employees

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.

  • Architect and prototype transformative solutions leveraging AI/ML techniques.
  • Solve complex security challenges at massive scale.
  • Influence product roadmap and technical strategy for Netskope's security platform.
  • Collaborate with engineering teams, product management, security research, and executive leadership.
  • Define technical strategy and make critical architectural decisions.
  • 15+ years of software engineering experience with demonstrated progression to senior technical roles.
  • Deep expertise in distributed systems architecture at massive scale.
  • Proven track record architecting AI/ML systems in production environments.
  • Expert knowledge of graph databases and graph algorithms.
  • Master-level proficiency in Python and modern ML/AI frameworks.
  • Deep understanding of data engineering including streaming data architectures.
  • Hands-on experience building AI-powered security solutions.
  • Expertise in vector databases and their application to security data.
  • Contributions to major open-source security or AI/ML projects.
  • Experience with advanced graph algorithms.
  • Background in network security, intrusion detection, or malware analysis.
  • Familiarity with agent-based AI systems and multi-agent architectures.
  • 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.
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