Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Engineering, SecureAI (AI): Leading development of agent access policies and identity security infrastructure that enables least-privilege access to enterprise resources with an accent on runtime policy enforcement, secure web applications, and agentic identity protocols. Focus on managing and growing an engineering team, defining product and technical roadmaps, integrating AI into the software development lifecycle, and building scalable, secure systems for authenticated, authorized, and audited agent access.
Location: Toronto, Ontario, Canada; hybrid work with in-person onboarding
Annual base salary: CAD 168,000–231,000, plus applicable equity, bonus, and benefits.
Company
Okta builds identity and access management products and is developing identity security infrastructure for the agentic AI era.
What you will do
- Lead the Agent Access Policies engineering sub-team and manage performance, goals, career development, hiring, and retention.
- Define the team’s strategic direction and roadmap with product management and technical leads.
- Drive projects from inception through delivery while coordinating with cross-functional and geographically distributed stakeholders.
- Maintain high standards for quality, security, testing, automation, and operational excellence.
- Lead adoption of new technologies and integrate AI into the software development lifecycle.
- Build policies that provide per-agent, per-resource, and per-tool access decisions at runtime, including delegated-agent authorization to act for employees.
Requirements
- Proven experience leading, mentoring, and developing engineering teams, including performance management and career planning.
- Experience managing technical projects from planning to execution and understanding Agile methodologies, Scrum/Kanban, and CI/CD.
- Strong technical background in scalable, secure, high-performance web applications and server-side architecture.
- Familiarity with Java or C#, the Spring Framework, web security, secure coding, accessibility standards, and AI agent protocols such as MCP.
- Knowledge of IAM concepts and protocols including OAuth, OIDC, and SAML is a strong plus.
- Bachelor’s or Master’s degree in Computer Science or equivalent experience, 10+ years of software development experience, 5+ years designing enterprise software, and 2+ years managing engineering teams.
Nice to have
- Prior experience as a Tech Lead or in an architecture-focused role.
- Experience leading AI adoption, developer tooling changes, or engineering culture transformation.
- Hands-on experience building, scaling, or securing AI-powered applications and agentic platforms.
- Experience with cybersecurity principles and secure coding practices.
Culture & Benefits
- Inclusive, collaborative environment focused on developing talent and building effective teams.
- Health, dental, and vision insurance, RRSP matching, healthcare spending, and telemedicine.
- Paid leave, including PTO and parental leave, according to applicable plans and policies.
- Global community spanning more than 20 offices with an immersive in-person onboarding experience.
- Equal opportunity employment and reasonable accommodation during the application and onboarding process.
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