Principal Engineer - AI / ML Analytics Platform & Cloud Security

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 at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

The Opportunity

We are seeking a Principal Engineer to architect and lead the development of an advanced AI-powered analytics platform that combines machine learning, natural language interfaces, and large-scale data systems. This role is at the forefront of Netskope's innovation in cloud security intelligence, enabling our customers to derive real-time insights and automated decisions from massive volumes of telemetry and event data.

The strategic and technical leadership role requires broad systems expertise, product thinking, and a strong ability to collaborate across engineering, product, security, and AI teams. You will drive initiatives that intersect search-driven analytics (like ThoughtSpot), LLM-powered workflows (like Upsolve AI), and real-time cloud security analytics.

Key Responsibilities

Define and drive the architecture for an AI analytics platform that supports natural language queries, visual analytics, and ML-assisted insights across security data.

• Lead the integration of LLMs and Retrieval-Augmented Generation (RAG) into interactive analytics flows, enabling context-rich user experiences.
• Own the design and development of high-performance data systems for querying, indexing, and streaming large-scale telemetry and behavioral data.
• Drive backend platform scalability, availability, and observability across core analytics and ML services.
• Partner with security, data science, and product teams to prioritize use cases, define technical strategy, and influence roadmap.
• Establish engineering best practices in system design, API architecture, performance tuning, data modeling, and ML platform integration.
• Mentor senior engineers and foster a high-bar engineering culture grounded in innovation, ownership, and execution.
• Represent the engineering vision in cross-functional strategy discussions, architectural reviews, and external technical forums if needed.

Qualifications

Core Technical Expertise

Platform & Product Experiences

Leadership

Preferred Skill Sets

Why Netskope

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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 statues, 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.

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