Uber Senior Staff Software Engineer 

United States, West Virginia 

63998264

• Lead efforts within the organization to drive the development and maintenance of services, frameworks, and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber. You are passionate and pragmatic technologists who are able to design scalable systems while delivering efficient code. You are not only role models, but also empathic leaders. You are humble teachers, technically mentoring a team of passionate engineers while also delivering uniquely challenging projects. The privacy landscape is constantly evolving, and with the adoption of ML/AI/GAI backed by extensive heterogeneous data, security & privacy threats are inevitably broadened. With your deep and comprehensive expertise across major technology stacks, you will architect, implement and scale industry-leading privacy solutions for the entire company. You will collaborate with privacy & security leaders and with the broader engineering organization to ensure that the technologies and systems that Uber depends on are built with privacy-by-design in mind.

• 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 C++.
• 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.

• Experience with security and/or privacy enhancing technologies (PETs),
• Experience with various encryption algorithms, anonymization, and data minimization.
• Prior experience leading the design or reconstruction of complex systems, preferably in e-commerce or retail-related fields.
• Experience with building real time data pipelines.
• Deep understanding of the related theories of distributed systems, such as load balancing, distributed transactions, CAP/BASE, etc
• Experience with common controls, application, and infrastructure privacy vulnerabilities and mitigations.
• Incorporation of Machine Learning algorithms into shipping products.

For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.