Software Engineer II, Capacity Efficiency Engineering

The Capacity & Efficiency Engineering (CEE) organization at Uber is seeking an outstanding Software Engineer to join their team in Amsterdam. This role offers potential specializations in frontend, backend, fullstack, and data engineering. As a Software Engineer, you will contribute to defining a holistic vision and building core products across various focus areas, including capacity planning, forecasting, budgeting, capacity management, hardware allocation, and fleet-wide monitoring and complex analytics.

In this position, you'll work closely with a highly cross-functional team, collaborating with platform teams, service owners, and various business teams. Your responsibilities will include building a broad understanding of Uber's resource consumption across its entire tech stack, identifying cost-savings opportunities, and developing software to guide key business decisions for growing Uber's infrastructure in the cloud while reducing costs.

Key Responsibilities:

• Collaborate with teams across Uber to identify, model, and project capacity needs over time
• Help scale services and platforms within capacity budgets and find efficiency opportunities
• Build highly available and scalable products and services
• Design and develop web applications using cutting-edge technologies (for frontend engineers)
• Architect and build software solutions for capacity planning/management/engineering (for backend engineers)
• Maintain system and codebase health, refactor, and improve robustness and resilience
• Write clear documentation to facilitate collaboration

This role offers an exciting opportunity to work on complex, large-scale systems and contribute to Uber's infrastructure optimization. The ideal candidate will have a strong technical background, experience in distributed systems, and the ability to work collaboratively in a fast-paced environment.

Join Uber and be part of a team that's moving the world forward by creating innovative solutions for capacity and efficiency challenges in a global technology company.