Live opening · Posted 27 days ago
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About the role
Description supplied by the original job listing.
The Risk team plays a crucial role in Uber's mission to keep users away from malicious intent from our system while ensuring powerful, intuitive, frictionless, and delightful experiences for our millions of daily users (riders, eaters, drivers, couriers, and restaurants). Our continued obsession with innovation is essential to enable Uber's phenomenal growth globally as we expand into new lines of business.
The team is full-stack and cross-functional. There will be significant, challenging problems in the Backend, Frontend, Data, and ML engineering spaces, and the team will have embedded collaborators from Product Management, and Data Science. As part of the team, you will have direct responsibility for vital systems and processes. You will take ownership of key features and initiatives in crafting and building high-quality, scalable systems. Your work will directly impact the lives of Uber's users and operations teams across the globe.
Responsibilities:
Direct efforts to understand requirements and translate strategically important business or technical problems into executable and extensible designs.
Build reliable, high-quality solutions that scale with Uber's engineering processes.
Deliver and review technical design, code, and documentation.
Drive ongoing efficiency and reliability improvements through design and automation: availability, performance, scaling, monitoring, and capacity.
Manage upstream and downstream dependencies, and collaborate with other engineering teams.
Mentor and support your fellow teammates.
Define standards in Coding, testing, monitoring, and alerting systems and lead the team to complete them.
Requirements:
BS or MS degree in computer science, similar technical field of study, or equivalent practical experience.
8+ years of experience as a software engineer and building large-scale distributed systems.
Coding chops, clean, elegant, bug-free code in languages like JS, Java, and GO.
Skilled in architecture: Solid understanding of distributed systems architecture - consensus, convergence, data consistency, and performance/efficiency constructs.
Strong desire to learn and grow, while building the best-in-class systems.
Experienced at Cross-Team Communication: Strong flair for effective communication and collaboration - you know when to push on and when to step back. We work closely with several groups and supporting these other groups is a key part of scaling our business.
Passionate about helping teams grow by inspiring and mentoring engineers.
Ability to Identify and resolve performance and scalability issues.
Experience across the Tech Stack including Backend and Frontend.
Experience in building applications involving large volumes of data from various sources.
Exposure to GraphQL-based Web services is a bonus.
Experience designing and working with systems at scale serving millions of users and high uptimes.
Experience working with teams spanning geographic locations and time zones.
Experience
6-10 yrs
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