12 van 16
Locatie:
1000 Amsterdam
Nederland
Contract:
Voltijds, Onbepaalde duur
Datum Gepubliceerd:
19 juni 2024
Sr Staff Engineer / Tech Lead Manager, Capacity & Efficiency Engineering | Amsterdam
- Uber
- Noord-Holland
- Engineering
- 2 weken geleden
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.
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.
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