Staff Software Engineer - Android Device Authenticators

Okta · Bengaluru · 5–7 yrs experience · Posted 2026-07-25

Tech stack: Kotlin

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About the role

Responsibilities:
- 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 core Android/Kotlin 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.
Qualifications:
- to the role
- 5-7 years of software development experience, with at least 3 years of experience designing and building scalable, high-performance client-side features on Android using Kotlin.
- Deep expertise in building secure and high-quality Android applications, including proficiency in performance optimization and multi-threading on the Android platform.
- Extensive experience designing, building, and securing APIs for large-scale mobile systems.
- Expert knowledge of Android frameworks, including proficiency in debugging and problem-solving across various Android OS versions and device types.
- A deep understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
- 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.
- Understanding of Identity and Access Management protocols and technologies (FIDO, U2F, WebAuthn, SSO, SAML, OAuth, Federation, etc.)
- Knowledge of cybersecurity principles, secure coding practices, and certifications like CISSP or Security+.
- Security Application experience - building VPN, firewalls, anti-virus, etc.
- Bachelor’s degree in Computer Science or equivalent experience. #LI-Hybrid P25228_3471797
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community

Qualifications

- to the role
- 5-7 years of software development experience, with at least 3 years of experience designing and building scalable, high-performance client-side features on Android using Kotlin.
- Deep expertise in building secure and high-quality Android applications, including proficiency in performance optimization and multi-threading on the Android platform.
- Extensive experience designing, building, and securing APIs for large-scale mobile systems.
- Expert knowledge of Android frameworks, including proficiency in debugging and problem-solving across various Android OS versions and device types.
- A deep understanding of design patterns, scalability patterns, security engineering, and object-oriented principles.
- 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.
- Understanding of Identity and Access Management protocols and technologies (FIDO, U2F, WebAuthn, SSO, SAML, OAuth, Federation, etc.)
- Knowledge of cybersecurity principles, secure coding practices, and certifications like CISSP or Security+.
- Security Application experience - building VPN, firewalls, anti-virus, etc.
- Bachelor’s degree in Computer Science or equivalent experience. #LI-Hybrid P25228_3471797
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community

Responsibilities

- 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 core Android/Kotlin 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.

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