Principal Software Engineer (AI (Web & Data))

Okta
Toronto, CA; US
Remote

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
High
Decision Impact
Company
Role Level
Team Lead

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • lead the technical architecture and evolution of hybrid digital ecosystem
  • design modern data orchestration solutions
Typical background
Bachelor’s degree in Computer Science, Electrical Engineering

Transferable backgrounds

  • Coming from principal software engineering roles

Skills & requirements

Required

AI IntegrationData OrchestrationModern Frontend FrameworksML & Data Engineering

Preferred

Ai-assisted CodingEngineering Productivity Tools

Stack & domain

Ai SolutionsOpenaiAnthropicApache AirflowdbtKafkaHeadless CmsAemContentfulModern Frontend FrameworksRagVector DatabasesLlm OrchestrationAi-assisted CodingEngineering Productivity Tools

About the role

Original posting from Okta

  • We are seeking an accomplished Principal Engineer to lead the technical architecture and evolution of our hybrid digital ecosystem
  • In this pivotal role, you will drive the strategic integration of multi-modal AI into our core infrastructure while architecting an omnichannel platform capable of supporting complex customer journeys
  • You will balance the adoption of proven third-party AI solutions (OpenAI, Anthropic) with the development of proprietary optimizations where they deliver a competitive advantage
  • As a technical leader, you will champion a vendor-agnostic, ethically grounded, and Privacy by Design approach to AI implementation
  • Infrastructure Modernization: Lead the roadmap for migrating legacy data pipelines to AI-native architectures. You will design modern data orchestration solutions utilizing Apache Airflow, dbt, and Kafka to replace outdated batch processing with real-time, event-driven flows
  • AI-Native Web Transformation: Define the web infrastructure required for a high-agility ecosystem. Architect the evolution of our Headless CMS environments (AEM, Contentful) and modern frontend frameworks to enable automated page assembly and AI-driven UI components
  • Agentic Pipeline Development: Design and build autonomous pipelines that bridge the gap between design systems, automated component development, and publishing workflows
  • ML & Data Engineering Leadership: Establish standards for RAG, vector databases, and LLM orchestration. Provide architectural guidance for the seamless integration of AI capabilities across headless and omnichannel systems while ensuring consistency, performance, and security
  • Engineering Productivity: Champion the use of AI-assisted coding and engineering productivity tools such as Claude Code and Cursor to accelerate development cycles and optimize architectural decision-making

Benefits

  • Work from home opportunities
  • Health + Wellness
  • Financial Benefits
  • Pay + Incentives
  • Time Off
  • Everyday Living
  • Resources

Source: Okta careers

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