About the role
Engages with stakeholders across teams to lead the development and maintenance of backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber.
About the Team
The Automation Platform (Flow) is building Uber's marketing technology foundation and ecosystem that empowers Uber's Products, CRM, and Marketing to create complex automated solutions rapidly and visually. The platform is processing 2B events every day and executing thousands of workflows, batch jobs, and 1.5B actions every week. The team's work lays the foundation for Uber's business growth as 90% of marketing communications and campaigns are built on top of it. If you are passionate about designing and building extremely reliable, highly scalable, and performant multi-tenant services that never fail, this is the right group for you.
We are looking for backend engineers to work on one of the three areas to scale the platform to the next level:

• Core: build large-scale real-time event processing and batch processing engine to orchestrate business workflows. Achieving five-nine availability, zero data loss, low end-to-end latency for billions of events is the goal.
• Ecosystem - create a booming ecosystem around marketing automation, including metadata service, permission management, attributes/events marketplace, self-serve, drag-n-drop user experience, etc.
• XP & Personalization - build cutting-edge technologies to facilitate the end-to-end process of orchestrating personalized marketing campaigns and continuously optimizing campaigns using automated experiment analysis.

Minimum qualifications:

• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field OR 1-year full-time Software Engineering work experience, WHICH INCLUDES 1-year total technical software engineering experience in one or more of the following areas
• Programming language (e.g. C, C++, Java, Python, or Go)
  
  • Note the 1-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.

Technical skills:
Required:

• Distributed systems

Preferred:

• Experience with shipping complex software systems scaling to millions of users.
• Experience with developing services using Kakfa, Redis, Cassandra, MySQL, etc.
• Experience with building and maintaining large-scale and/or real-time complex data processing pipelines using Flink, Hadoop, Hive, Storm, etc.