About the Role
The Capacity & Efficiency Engineering (CEE) organization is looking for a Sr Staff TLM (Tech Lead Manager) to join us in Amsterdam. In this role you will help define a holistic vision and build core systems across capacity planning, forecasting, budgeting, resource usage monitoring, cost attribution, system-wide simulations and efficiency improvements domains. All to help grow the Uber infrastructure, while collaborating with shared platform teams, service owners, product teams, finance, data scientists and senior leadership.
An ideal candidate will be working closely with a highly cross-functional team, including product management, engineering, tech strategy, data science, and leadership to drive down the cost of the Uber infrastructure. A successful candidate will need to demonstrate strong technical skills, including coding, system architecture / design, advanced statistics, and machine learning, while also being able to present results to a senior leadership audience. The TLM role will require building a team of data scientists and software engineers, while directly contributing on the technical side.
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What You Will Do
- Design and develop large-scale distributed systems such as data warehouses and big data pipelines
- Build scalable, reliable, secure, efficient and highly performant platforms and infrastructure for a variety of analytics and business applications
- Develop capacity planning, capacity management, monitoring and analytics products to scale the Uber infrastructure
- Do exploratory data analysis and create visualization dashboards to characterize fleet growth, utilization, trends, anomalies, etc, as well as derive insights to help guide business decisions
Basic Qualifications
- MS/PhD in Computer Science or a related technical field, or equivalent industry experience
- 10+ years of experience building and managing distributed systems, as well as a sound understanding of distributed system fundamentals
- Proficient in one of the following programming languages: Go, Java, C/C++, as well as good scripting skills and the ability to pick up new ones
- Grit, drive and a strong sense of ownership, coupled with an appetite for collaboration
- Strong written / verbal communication, and the ability to manage up
Preferred Qualifications
- Expertise in the infrastructure domain, particularly capacity engineering, and the ability to mentor / coach / manage other engineers and data scientists working in this space
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.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.