About the Team: Our mission is to protect, defend, and secure Uber's products, infrastructure and data by building highly available, scalable and extensible security solutions and services. We are passionate about proactively identifying and remediating security risks as well as swiftly detecting and mitigating security incidents. In the ever-evolving landscape of cybersecurity, we continuously adapt and evolve our defenses in order to always stay one step ahead of potential threats. About the role: You will lead efforts within the organization to drive the development and operations of security services and frameworks to support user-facing products and platforms across Uber. You are a hard-working and pragmatic technologist who is able to craft scalable systems while delivering high-quality code. You are not only a role model, but also an empathetic leader. You are a humble teacher, technically mentoring a team of passionate engineers while also delivering uniquely challenging projects.
The security landscape is constantly evolving, and with the adoption of ML/GAI backed by extensive heterogeneous data, security threats are inevitably broadened. With your deep and comprehensive expertise across major technology stacks, you will architect, implement and scale industry-leading security solutions for the entire company. You will collaborate with security leaders and with the broader engineering organization to ensure that the technologies and systems that Uber depends on are built with security-by-design in mind. Minimum qualifications:
BS/MS Degree in Computer Science or related field.
7+ years of industry experience in a software development environment.
Proficiency in programming languages like Java, Golang, or Python.
Hands-on experience with middleware, message queues, caches, and other related technologies.
Strong experience in architecture design, high-availability, and high-performance systems.
Deep understanding of distributed systems.
Prior experience leading the design and development of complex systems, preferably in big data or related fields.
Experience with building real time data pipelines.
Deep understanding of distributed systems, such as load balancing, distributed transactions, CAP/BASE, etc
Incorporation of Machine Learning algorithms into shipping products.
Experience with infrastructure security enhancement, threat detection and mitigation.
For San Francisco, CA-based roles: The base salary range for this role is USD$243,000 per year - USD$270,000 per year.
For Seattle, WA-based roles: The base salary range for this role is USD$243,000 per year - USD$270,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$243,000 per year - USD$270,000 per year.
For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .
Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing .
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.