Sr Staff Software Engineer
The Risk team plays a crucial role in Uber mission to keep away users from malicious intent from our system while ensuring powerful, intuitive and frictionless delightful experiences for our millions of daily users (riders, eaters, drivers, couriers, restaurants). Our continued obsession for 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.
What You will doDirect 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, collaborate with other engineering teams
Mentor and support your fellow teammates.
Define standards in Coding, testing, monitoring, and alerting systems and lead team to complete them.
Phenomenal communication skills. We build software for people. We build software with people. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
Provide initiative and technical leadership to 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, collaborate with other engineering teams
Coach and mentor engineers to help with their learning and career growth
Define standards in Coding, testing, monitoring, and alerting systems and lead team to complete them.
BS or MS degree in computer science, similar technical field of study or equivalent practical experience.
10+ 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, 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
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.
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.
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