Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Staff Fullstack Engineer, SecureAI (AI): Building an Identity Security Fabric for AI agents, including runtime authorization, policy management, delegated identity validation, and comprehensive audit logging with an accent on distributed systems, secure APIs, and full-stack development. Focus on designing request-time policy decision points, connecting no-code policy interfaces with APIs, enforcing least privilege, and advancing AI-native engineering practices.
Location: Toronto, Ontario, Canada; hybrid
Salary: CAD 160,000–220,000 annual base salary, plus applicable equity, bonus, and benefits.
Company
Okta builds identity and access management infrastructure, including security solutions for human and AI-agent identities.
What you will do
- Shape the technical strategy for the Identity Security Fabric and prioritize workstreams for securing AI agents.
- Build a Runtime Policy Decision Point and request-time authorization engine for agent requests.
- Connect policy-engine authoring, schema validation, no-code administration interfaces, and API-published policies.
- Validate delegated-agent representation rights and securely forward acting-user identities to downstream resources.
- Implement comprehensive audit logging for authorization decisions, including the applicable rule or reason.
- Improve AI-native development practices, CI/CD, observability, reliability, documentation, and engineering standards while partnering with Product and Design.
Requirements
- At least 8 years of full-stack software engineering experience across backend and frontend development.
- Bachelor’s or Master’s degree in Computer Science or a related field.
- Deep backend engineering experience with Java or another type-safe language.
- High proficiency in JavaScript and TypeScript, with the ability to build robust frontend applications.
- Experience designing scalable backend architectures, integrating complex APIs, and making organization-wide architectural decisions.
- Strong understanding of web authentication, authorization, and secure handling of sensitive user data.
Nice to have
- Experience with identity, authorization, or IAM protocols such as OAuth, OIDC, or SAML.
- Experience with agent frameworks, AI-facing APIs, or LLM developer toolchains.
- Experience leading an engineering team through changes in AI adoption, developer tooling, or engineering culture.
Culture & Benefits
- Hybrid work with an in-person onboarding experience.
- Health, dental, and vision insurance, RRSP matching, healthcare spending, and telemedicine.
- Paid leave, including PTO and parental leave, according to applicable plans and policies.
- Opportunities to develop talent, build community, and contribute to social impact initiatives.
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