Uber's Capacity & Efficiency Engineering (CEE) organization is looking for a Staff Backend Software Engineer to help define a holistic vision and build core products for capacity planning, forecasting, budgeting, capacity management, hardware allocation, and fleet-wide monitoring and complex analytics. The goal is to understand Uber's resource consumption, identify cost-saving opportunities, and develop software to guide key business decisions for growing infrastructure while driving down costs.
Requirements
- Sound understanding of distributed system fundamentals.
- 5+ years of experience building distributed systems and big data solutions.
- Proficient in the following programming languages: Go, Python, Java, Javascript. Good scripting skills and the ability to pick up new ones.
- Knowledge of fullstack development.
- Background in building high-performance, scalable, distributed systems.
- Backend experience with data engineering, data pipelines, big data systems, data science, SQL, analytics.
- Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis.
- Experience with a relational database (MySQL, PostgreSQL).
Responsibilities
- Work with teams across Uber to identify, model and project capacity needs over time, help scale services and platforms within our capacity budget and find opportunities to make Uber more efficient.
- You will build products and services that are highly available and scalable to serve our customers.
- As a backend engineer, you will architect, design and build software solutions to help with all aspects of capacity planning/management/engineering to scale Uber’s infrastructure across a variety of sophisticated workflows and business processes.
- You will collaborate with other teammates to maintain the health of our systems and codebase, refactor and make improvements, and keep our systems robust and resilient.
- Write clear documentation so that other engineers can partner to contribute and deliver.
Other
- Grit, drive and a strong sense of ownership coupled with an appetite for collaboration!
- Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office.
