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Staff Frontend Engineer (SecureAI)

Okta · Toronto, Canada

Imported listingfull-time18 days ago

About The Role

Join Okta, a leading identity management company, as a Staff Frontend Engineer. In this role, you will be part of the Okta for AI Agents Team, working on the future of digital identity management. You will lead the design, architecture, and development of high-quality scalable software, collaborate with product owners and UX teams, and contribute to the design and implementation of new products and features. This is an opportunity to make a significant impact in the rapidly evolving field of AI and identity management.

  • Concevoir, architecturer et construire des logiciels évolutifs de haute qualité en respectant les meilleures pratiques en matière d'architecture et de processus d'ingénierie logicielle.
  • Collaborer avec les propriétaires de produits, l'UX et les équipes d'ingénierie pour définir et planifier les efforts d'ingénierie et les dépendances.
  • Assumer la responsabilité de votre code à toutes les étapes du cycle de vie - conception, mise en œuvre, automatisation des tests, livraison et surveillance.
  • Experience shipping robust services and user interfaces for production-grade applications in an agile, product-oriented environment
  • Experience working with cloud systems at scale
  • Excellent communication skills and strong product sense
  • 8+ years of software engineering experience building highly reliable, mission-critical software
  • Extensive knowledge of JavaScript language, along with experience building Express and ReactJS applications
  • Excellent grasp of software development and testing principles
  • Strong understanding of debugging scalable, high performance web applications built with reusability and componentization in mind
  • Strong experience with cross browser compatibility and optimization techniques
  • Understanding of web security attacks and prevention
  • Experience with identity, authorization, or IAM protocols (e.g., OAuth, OIDC, SAML) and contributing to a "zero-to-one" startup-like team
  • Work with agent frameworks, AI-facing APIs, or developer toolchains in the LLM space

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