About the Role The Netskope MCP Framework team is a newly formed high-impact initiative dedicated to building the bridge between Netskopes 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 Netskopes 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.

Whats in it for you

This is a rare opportunity to lead a zero-to-one project at the intersection of Cybersecurity and AI within the Control Plane Core Services organization. If you thrive on technical complexity enjoy setting architectural direction and can comfortably switch between high-level strategy and hands-on implementation this role is for you.

• Lead the Vision: Drive the end-to-end design of the MCP framework from technical architecture to organizational roll-out.
• Scale for AI: Build the infrastructure that enables AI agents to perform real-time investigations retrieve policy data and execute actions across the entire Netskope platform.
• Collaborate and Influence: Work closely with stakeholders across AI Threat DLP and IaaS teams to ensure alignment and drive adoption of the MCP standard.
• Hands-on Impact: Stay close to the code driving implementation while also coordinating the efforts of other engineers.

What you will be doing

• 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.

Required skills and experience

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

Education

• BSCS or equivalent required MSCS or equivalent strongly preferred.

#LI-SC1