Lead Web Proxy (Hybrid)

Morgan Stanley • Montreal, QC

4d • Hybrid

About The Position

We’re seeking someone to join our team as a Lead Web Proxy / AI Gateway Specialist in Cyber Security to help scale enterprise GenAI safely. In this role, you’ll build and run the secure access layer for approved LLM tools and model APIs—using AI/web gateways, proxies and SSE controls to enforce policy, prevent data leakage, and keep performance fast and reliable. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Cyber Security Engineering Manager position at Vice President level, which is part of the job family responsible for providing specialist cyber expertise and creating solutions that protect the organization's systems and networks against actual and potential security threats and vulnerabilities. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

Requirements

• 8+ years in secure access / edge security (SSE/SASE, SWG/proxies, CASB, WAF, API gateways)
• Strong security/platform/network engineering experience; comfortable operating production services
• Identity and auth expertise (SSO, OAuth/OIDC, mTLS, service-to-service identity)
• Experience implementing DLP, logging and policy enforcement in enterprise environments
• Scripting/coding to automate integrations (Python, Go, Java or similar)
• Cloud fluency (AWS, Azure or GCP)

Responsibilities

• Design secure access patterns for GenAI/LLM services via AI gateways, SWG/proxies and cloud security controls
• Enable sanctioned AI tools and reduce unsanctioned usage through visibility, routing and enforcement
• Implement identity, routing and policy enforcement for user-to-AI and service-to-AI traffic (SSO/OAuth/OIDC/mTLS)
• Embed DLP, classification/redaction and content inspection to prevent sensitive data leakage
• Optimise latency, throughput and reliability; troubleshoot complex issues end-to-end
• Stand up monitoring and alerting for usage, blocked events, policy violations and performance
• Create reference architectures and onboarding playbooks to make “secure AI” easy for engineering teams

Benefits

• Ample opportunity to move across the businesses for those who show passion and grit in their work.
• Attractive and comprehensive employee benefits and perks in the industry.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed