Назад
5 дней назад

Staff Software Engineer, SecureAI

160 000 - 220 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Staff Software Engineer, SecureAI (Java/AI Identity Security): Building the Identity Security Fabric for AI agents with an accent on distributed backend services, runtime authorization, policy evaluation, and secure audit logging. Focus on designing request-time policy decision points, validating delegated identities, integrating MCP and OAuth token exchange, and evolving AI-native engineering practices.

Location: Hybrid role based in Toronto, Ontario, Canada

Annual base salary: CAD 160,000–220,000 for candidates located in Canada

Company

Okta builds identity and access management infrastructure, including security solutions for AI agents and organizations.

What you will do

  • Shape the technical strategy for the Identity Security Fabric and prioritize workstreams for securing AI agents.
  • Build the Runtime Policy Decision Point at the Agent Gateway and agent-to-resource connection level.
  • Design policy authoring, schema validation, and evaluation using policy engines such as Cedar.
  • Validate delegated-agent identities and securely forward acting-user identity to downstream resources.
  • Track MCP, OAuth token exchange, and agent identity specifications, contributing production feedback to specifications and reference implementations.
  • Develop comprehensive audit logging and improve CI/CD, observability, reliability, documentation, and support processes.

Requirements

  • Experience defining scalable backend architectures and integrating complex APIs with modern web technologies.
  • Deep expertise building reliable, secure, enterprise-grade software in Java or another type-safe language.
  • Strong understanding of web authentication and authorization fundamentals and sensitive-data security.
  • Ability to apply AI meaningfully across the software development lifecycle and establish AI-native engineering practices.
  • Experience making architectural decisions with lasting, organization-wide impact.
  • Bachelor’s or Master’s degree in Computer Science or a related field.

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 a team through changes in AI adoption, developer tooling, or engineering culture.

Culture & Benefits

  • In-person onboarding designed to accelerate impact and build connections.
  • Health, dental, and vision insurance.
  • RRSP matching, healthcare spending support, telemedicine, and paid leave including PTO and parental leave.
  • Equity and bonus may be available according to applicable plans and policies.
  • Inclusive workplace with a global community spanning more than 20 offices.

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