Staff Platform Engineer, Universal Directory

Staff Platform Engineer, Universal Directory

Bellevue, Washington; San Francisco, California; Toronto, Ontario, Canada

Secure Every Identity, from AI to HumanIdentity 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. Were all in on this mission. If you are too, lets talk.We are seeking an experienced Staff Software Engineer to join Oktas Universal Directory Platform team within the Product Platform Pillar. The team serves as the intelligent core of the enterprise security fabric, maintaining the source of truth for all identity assets and their associated relationships. Opportunity This position will be involved into development, design, and maintenance of our highly performant, reliable, and scalable platform, which is critical for managing user lifecycles, groups, and memberships. The successful candidate will possess experience in building and deploying scalable, reliable software and infrastructure within a cloud environment. What you'll be doing Understand our identity management group codebase and development process: Jira, Technical Designs, Code Review, Testing, and Deployment. Develop and implement frameworks and toolings for our Universal Directory Service platform. Design and implement high-performance distributed scalable and fault-tolerant software components. Quickly deliver high-quality bug fixes and handle customer-reported issues. Conduct quality code reviews and automated testings. Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work.

What you'll bring to the role The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure. 7+ years of Software Development in Java, preferably significant experiences with Hibernate and Spring Boot. 5+ years of development experience building services, internal tools and frameworks. 3+ years experience automating and deploying large scale production services in AWS, GCP or similar. Hands-on understanding with the practical application of SQL databases. Experience working with systems of scale ranging from monolithic applications to microservices. Ability to work effectively with distributed teams and people of various backgrounds.

And extra credit if you have experience in any of the following! B.S. Computer Science or equivalent Experience with the Go programming language. Experience of PostgreSQL, Docker and Kubernetes. Experience working with Active Directory or Microsoft Azure.

P17918_3419596 #LI-BB1 #HybridThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community 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.Okta 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 please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta 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 click here to view our full NYC AEDT Notice.

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