- You will manage a team of software engineers to deliver world-class safety solutions
- Partner with customer teams, help see opportunities, gather requirements, and lead a technology roadmap and vision for the team
- Recruit, encourage, and grow a top-notch engineering team
- Develop systems and software to bring world-class safety to global Uber
Engineering Manager Ii - Valparaíso, Chile - Uber
Descripción
Uber Grocery Engineering Team
Uber is redefining the future of grocery & retail A company that started by transporting people from place to place, now transports nearly anything a customer could want or need, on-demand. The Grocery Engineering Team is responsible for ensuring that as we move to transport more than just people & restaurant food, our platform evolves to provide an outstanding experience for customers, earners and brands. Today this team is focused on grocery, but will continue to flex into a longer tail of categories in the future.
What You'll Do
What You'll Need
Strong experience developing software as an engineer
Strong experience leading engineering teams
Significant experience building and operating critical high-scale systems
Phenomenal management and team development skills: ability to set roadmap and goals for a team and every one of its members, delegate intelligently, mentor engineers, deliver frequent and transparent feedback, help team members grow in their careers, and deliver results
Expertise and curiosity about growing teams: interviewing junior and senior engineers, collaborating with a recruiting team, efficiently onboarding new team members
Good software engineering methodology: meaningful and deeply-rooted opinions about testing and code quality, ability to make sound quality/speed trade-offs
Outstanding technical skills in backend or mobile engineering: Uber managers can lead from the front when the situation calls for it
Proficient in English
About the Team
Our team uses real-time telematics and motion sensing technologies along with multi-faceted machine learning algorithms and user-facing mobile products to reduce and prevent unsafe driving and behavior on the Uber platform. The team is building low-latency data streaming infrastructure that ingests terabytes of data daily before applying statistical modeling and signal processing algorithm, NLP auditing as well as facial biometrics recognition solutions. Our work touches all parts of the Uber experience from dispatch to on-trip and post-trip, as well as Uber's entire ecosystem ranging from our rides business to other newer Uber marketplaces, and ventures.
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