STAFF SOFTWARE ENGINEER, BACKEND - ENTERPRISE IDENTITY

About the role: Staff engineers at Uber have a deep impact across a wide variety of business and technology decisions spanning multiple projects and locations. They are passionate and pragmatic technologists who can design scalable systems while delivering efficient code. The role of a Staff Engineer at Uber involves: Writing, documenting and shipping high-quality code that supports critical features with global impact and at large scale. Applying software design patterns to design architectures that address business requirements for large-impact projects. Owning important components in the Uber's stack that support millions of users daily. Influence, define and own the vision and roadmap for the product. Raise the code quality bar and define the technical direction to the team. Mentor junior engineers. We are looking for someone with a passion for architecting, building, coding and scaling highly-available, mission-critical solutions. About the team: The Identity team ensures that users, businesses, devices and applications can seamlessly and securely access Uber and affiliated third parties. We facilitate the complete lifecycle of identity, including creation, access & management. While Uber expands from a predominantly consumer world to a world that includes millions of businesses, the Enterprise Identity team is building core features to enable companies to operate efficiently and securely at Uber by providing a comprehensive organization and employee setup solution, allowing organizations to represent their entities and their employees at Uber as well as controlling how their employees access Uber's platform through a robust Access Management solution. Our vision is offer best-in-class Identity features to allow companies from any size (from SMB to Large) to leverage all Uber products (Direct, Fleet, U4B, Merchants) through self-serve and automated solutions leveraging industry standards (such as SCIM and SSO) accelerating Uber's growth in the B2B space. We are a closely collaborative cross-functional team consisting of backend engineers, front-end engineers, product managers, data scientists and designers working together to manage identity at Uber effectively while enabling unprecedented growth. Uber's identity is early in the roadmap and you will have a unique opportunity to shape the identity vision and experience a rapidly growing team. What the Candidate Will Do Lead multiple high-impact cross-functional projects from conception to completion. Build sophisticated identity solutions and scalable distributed systems and technologies to enable Uber to grow its business globally. Provide insight into new technologies and work with the team to make architectural design decisions. Implement new features while prioritizing security, user experience, modern design, high availability, and scalability Collaborate with other teams, production engineer team and product manager to support engineering fundamental programs and drive adoption Communicate and collaborate with other teams, both technical and non-technical Bring a passion for the creativity and discipline that goes into development with cloud technologies! Basic Qualifications 8+ years of professional software development experience. BS or higher degree in Computer Science, or a related technical field, or equivalent experience. Proficient in one or more backend languages, like Java, Go, C/C++, C#, with the ability to pick up new ones quickly. Excellent coding abilities. Strong problem-solving skills, with relevant experience in implementing large-scale distributed backend services. Knowledge of data structures and ability to discuss the tradeoff between architectural choices, both on a theoretical level and on an applied level. Understanding of business and design requirements, whether you're working on an API used by other developers, an internal tool consumed by our operation teams, or a feature used by millions of customers, your attention to detail leads to a delightful user experience. Bonus points Advanced Degree: Master's or Ph.D. in computer science, engineering, data science, or a related field. Experience in risk, identity, security or similar focus. Experience analyzing, monitoring, and solving large-scale, high-traffic distributed systems. Excellent written and verbal communication skills, including the ability to write detailed technical documents.