Principal Engineer, MCP Framework

NetskopeSanta Clara, CA
7h

About The Position

The Netskope MCP Framework team is a newly formed, high-impact initiative dedicated to building the bridge between Netskope’s massive API ecosystem and the world of Generative AI. Netskope aims to develop a Model Context Protocol (MCP) framework to provide a standardized middleware layer, enabling Large Language Models (LLMs) and AI agents - such as Claude, Microsoft Security Copilot, Amazon Bedrock, etc. to securely consume over 3000+ endpoints from Netskope's API platform. As a Principal Engineer, you will be the technical and organizational lead for this project. You will design and build a modular framework that allows 30+ service teams to autonomously create and maintain MCP tools for their respective services, ensuring security, scalability, and a unified strategy for both internal and external AI consumption.

Requirements

  • Experience: 10+ years of software engineering experience, with at least 3 years in a technical leadership or strategy-setting role.
  • Distributed Systems: Deep architectural knowledge of distributed systems, multi-tenant architectures, and high-concurrency environments.
  • Technical Proficiency: command of modern programming languages, such as Go, Python, TypeScript, and JavaScript.
  • API Expertise: Strong experience with API design standards (REST, OpenAPI/Swagger, gRPC) and API security protocols (OAuth2, OIDC).
  • Technical Depth: Solid understanding of concurrency management, data structures, and algorithms.
  • Communication: Exceptional ability to build consensus among diverse stakeholders and "crisply" communicate technical vision in an ambiguous context.
  • AI Interest: strong interest in LLM ecosystems, agentic workflows, and the Model Context Protocol is highly desired.

Nice To Haves

  • MCP Adoption: Prior experience with Model Context Protocol (MCP) adoption or implementation is a strong plus.

Responsibilities

  • Architecting the Framework: Design a highly available, scalable, and modular MCP middleware that supports self-service for service owners across the company.
  • Technical Leadership: Set the strategy for how AI agents interact with Netskope data, ensuring consistency, reliability, and security.
  • Stakeholder Alignment: Communicate complex technical concepts to both technical and non-technical stakeholders to ensure organizational buy-in.
  • Documentation & Standards: Author comprehensive documentation, design specifications, and developer guides to facilitate the internal adoption of the MCP framework.
  • Implementation: Lead by example with high-quality, performant code, focusing on core framework components and concurrency management.
  • Security & Governance: Implement robust security measures, including RBAC, rate-limiting, data masking, and audit logging for all AI-driven API access.
  • Mentorship: Guide and mentor engineers across different teams, fostering a culture of technical excellence and innovation.
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