Principle Engineer - Capacity & Efficiency Engineering

About the Role

The Capacity & Efficiency Engineering (CEE) organization is seeking an experienced and highly skilled Principal Engineer to join our dynamic team in Amsterdam. This role requires a unique blend of expertise in capacity engineering (Planning, forecasting, allocation), data engineering, and full-stack development. The ideal candidate will be a visionary leader, capable of designing, implementing, and optimizing complex systems to ensure scalability, reliability, and performance.

As a principal engineer, you will define and own the vision of this team to drive accountability across the company for multi-billion dollars spent on platforms. Your scope will include building deep analytical tools for understanding consumption patterns of infrastructure, liaising with stakeholders across the company to find inefficiencies and work with them to make our systems lean and efficient. You'll build and enhance our capacity analytics products that help drive our cost-to-serve efficiency programs while we grow Uber’s infrastructure in the cloud.

Responsibilities

As a Principal Engineer, you will be the key technical leader driving efficiency, scalability, and financial accountability across Uber's engineering organization. You will leverage deep Data Engineering expertise to architect systems that directly influence strategic resource decisions.

• Strategic Capacity Management (Planning, Forecasting, & Allocation):Serve as the technical authority for strategic capacity planning and resource allocation. You will work across Uber to forecast future needs, proactively identify organizational capacity gaps, and establish technical guardrails to ensure resource efficiency within our budget.
• Data-Driven Financial Visibility & Actionability:Architect, design, and lead the development of essential, high-scale Engineering infrastructure. This platform will provide organization-wide visibility and actionability into engineering spend, enabling data-driven optimization.
• Technical Leadership & System Architecture:Provide technical leadership in designing and building highly available, scalable, and resilient products and core platforms that serve our customers and optimize internal systems. Your architectural decisions will define the future state of our most critical infrastructure.
• Engineering Excellence & Collaboration: Drive collaboration with peer Principal Engineers and engineering teams to champion best practices for system health, robustness, and refactoring. You will mentor senior engineers, setting the bar for code quality, resilience, and longevity across systems.

Basic Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 15+ years of experience in software engineering, with a strong focus on capacity engineering, data engineering, and full-stack development.
• Deep data engineering experience.
• Proven experience in designing and implementing large-scale, distributed systems.
• Expertise in cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
• Strong proficiency in at least one modern programming language (e.g., Python, Java, Go, Node.js).
• In-depth knowledge of database systems (SQL and NoSQL) and data warehousing concepts.
• Experience with front-end frameworks (e.g., React, Angular, Vue.js) and back-end frameworks.
• Excellent problem-solving, analytical, and communication skills.
• Demonstrated ability to lead and mentor engineering teams.

Preferred Qualifications

• Experience with stream processing technologies (e.g., Kafka, Flink).
• Familiarity with machine learning/AI and their application in data engineering.
• Contributions to open-source projects.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it 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.