About the Role
The Capacity & Efficiency Engineering (CEE) organization is seeking an experienced and highly skilled Sr. Staff 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 Senior Staff Engineer, you will define and own the vision of this team to drive accountability across the company for multi-billion-dollar spending 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 working 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.
What the Candidate Will Do
As a Senior Staff 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 Principal/Distinguished 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.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 10+ 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.
- 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.
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