Staff Software Engineer, Okta

• 5-7 years of software development experience, with at least 3 years of experience designing and building scalable, high-performance client features using Swift and UIKit/SwiftUI for iOS/macOS
• Deep expertise in Apple frameworks, system architecture, and client-side security
• Extensive experience designing and implementing secure client-server communication
• Expert knowledge of client-side technologies, including multi-threading, concurrency, and performance optimization on Apple platforms
• A deep understanding of design patterns, scalability patterns, security engineering, and object-oriented principles
• Experience in fast-paced agile environments, with a strong understanding of CI/CD and automated testing
• Excellent communication skills with the ability to articulate complex technical concepts to diverse audiences and influence technical direction
• Proficiency in leveraging AI coding assistants (e.g., GitHub Copilot) to accelerate the development lifecycle, with a focus on maintaining high standards for code quality and security
• Bachelor’s degree in Computer Science or equivalent experience

Desirable

• The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision
• As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor
• We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world
• We engineer the end-to-end device experience—from our flagship FastPass, Okta Device Access (ODA), and Device Assurance
• Our teams own the continuous authentication pipeline, device lifecycle management, and the sophisticated cloud services that analyze real-time trust and assurance signals to make frictionless, passwordless access a reality across Windows, macOS, iOS, Linux and Android
• Our organization is comprised of engineers who thrive at the intersection of deep client-side platform engineering and massive-scale distributed systems
• The work we do secures millions of enterprise endpoints globally, prevents modern identity attacks, and fundamentally changes how people work by making world-class security completely invisible to the end user
• We seek a dynamic and influential Staff Software Engineer to join our Device Authenticators engineering team
• The ideal candidate will leverage their deep Swift experience to architect, build, and scale the critical client application software and services at the heart of our security and identity platform
• This is a high-visibility, hands-on opportunity to design solutions for current and emerging industry challenges
• You will not only demonstrate an aptitude for software engineering excellence but also act as a player-coach, mentoring other engineers and elevating the team's capabilities
• You will join an engineering team that shares a passion for elegant solutions and believes in designing for scale, rigorous code reviews, automated testing, and an iterative process to build high-quality enterprise software
• Drive cross-functional collaboration with Product, Design, and QA to ensure the seamless delivery of our most critical engineering initiatives
• Lead the design and implementation of new features within our iOS/macOS client platform, taking ownership from conception to deployment
• Define and champion engineering best practices, and make critical contributions to technical designs, proposals, and long-term architectural decisions
• Mentor and coach other engineers through code reviews, technical guidance, and by setting a high bar for quality and security
• Develop high-quality, maintainable software with comprehensive test coverage and drive improvements to our testing and CI/CD strategies
• Create and maintain high-quality technical documentation and foster a culture of knowledge sharing within the team and the broader organization
• Champion the adoption of AI-native engineering practices within our Product Development Lifecycle (PDLC), utilizing AI coding assistants to accelerate delivery while ensuring rigorous security and code quality standards