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The company seeks a Staff Software Engineer to join the Device Authenticators team, leveraging Android and Kotlin to architect and scale client-side software at the heart of our security platform.
You will mentor engineers, drive cross-functional work with Product, Design, and QA, and shape architecture with a focus on performance, security, and scalable systems across platforms.
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. the company 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.
The Device Identity and Access organization is at the forefront of the company’s Zero Trust vision. As a foundational pillar within the company 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, the company 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.
Explore our culture and technical innovations on the the company Engineering Blog.
We seek a dynamic and influential Staff Software Engineer to join our Device Authenticators engineering team. The ideal candidate will leverage their deep Android and Kotlin experience to architect, build, and scale the critical client-side 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.
Bachelor’s degree in Computer Science or equivalent experience.
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We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
the company is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding pleaseuse this Form to request an accommodation.
Notice for New York City Applicants & Employees: the company may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please