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Manager, Engineering, SecureAI

Toronto💼 Full-time💰 $168,000–$168,000🗓 2026-09-16 → 2026-09-26

Core

Lead the Agent Access Policies sub-team to enable least-privilege agentic access to enterprise resources, replacing broad connection-level access with per-agent, per-resource, per-tool policy decisions evaluated at runtime.

Role type

Engineering Manager (Agentic Identity & Access Policies)

Builds

Infrastructure for secure AI agent access control and governance

Domain

Cybersecurity, Digital Identity, AI Security, Agentic Systems

Deliverable

production ML models | product features | infrastructure

Required skills

Engineering team leadership, strategic roadmap definition, Agile/Scrum/CI-CD management, secure software architecture, web security principles, IAM protocols (OAuth, OIDC, SAML), AI governance frameworks, server-side architecture (Java/C#)

Preferred skills

MCP (Model Context Protocol) familiarity, AI-powered application security, architecture-focused tech lead experience, leading engineering culture shifts around AI adoption

Technologies

Java, C#, Spring Framework, OAuth, OIDC, SAML, MCP

Responsibilities

Manage team performance, goals, and career development; Partner with product and technical leads on strategy; Ensure quality and security through processes and automation; Lead adoption of AI in SDLC; Drive projects from inception to delivery; Recruit and retain top engineering talent

Seniority

Senior, hands-on IC manager

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