Senior Software Engineer, Frontend (Web)

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Role Overview

We are seeking a Senior Software Engineer to build and evolve Okta’s web platform using React and Next.js. In this role, you will bring deep frontend expertise to solve complex engineering problems autonomously from designing scalable page systems and optimizing performance to integrating CMS APIs and refining developer workflows. You work independently on ambiguous problems but thrive in collaboration with designers, content architects, and fellow engineers. AI-assisted development tools are part of how this team works, and you leverage them fluently to move faster while maintaining high standards. This is a hands-on IC role with significant autonomy and real ownership, ideal for an engineer who combines deep technical understanding with strong collaborative instincts.

Key Responsibilities

• Frontend Development & Architecture: Build and maintain reusable page templates, features, and component systems in Next.js using TypeScript and React. Design scalable data-fetching patterns from headless CMS APIs (GraphQL and REST), transforming structured content into polished frontend experiences. Collaborate on content model design with content architects, ensuring CMS data maps cleanly to frontend templates. Implement responsive, accessible, high-performance UI following established design system patterns and propose improvements when existing patterns fall short.
• Design System Collaboration: Work closely with the design system team to assemble pages and experiences from the internal component library. Identify gaps where new patterns or variants are needed, articulate requirements clearly, and collaborate on solutions whether that means contributing to the design system directly or building well-scoped custom components when the system doesn’t yet cover a specific need.
• AI-Assisted Engineering: Leverage AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) fluently in your daily workflow to accelerate delivery. Critically evaluate AI-generated output and share effective patterns with teammates. Help the team develop good habits around AI tooling through collaboration and example, not mandate.
• Quality & Collaboration: Write thorough unit and integration tests to pr