Senior Staff Engineer
Uber
Job Overview
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Job Description
Senior Staff Engineer at Uber
Payment Compliance Engineering systems are crucial for entities to go online and receive payments. This role involves policy and process evaluations across regulatory regions and lines of business, achieved through policy evaluations, decisioning, workflow orchestration, external vendor integrations, and case adjudication platforms for both earners and spenders. The team also collaborates with multiple Lines of Business to improve the end-user experience, helping entities achieve compliance faster.
The ideal Senior Staff Engineer will lead by example, championing engineering excellence while driving research and shaping/delivering the team's technical vision.
What You Will Do
- Lead the design and architecture of a high-performance payment compliance infrastructure, prioritizing scalability, reliability, accuracy, and efficiency.
- Research and lead projects which utilize Machine Learning and AI to enable faster document processing & transcription, automated case adjudications, automated matching, and automated support.
- Collaborate with several cross-functional teams to define requirements and translate them into technical specifications.
- Develop and implement state-of-the-art process workflow orchestrations, decisioning, and reconciliation algorithms, enhancing payment compliance infrastructure offerings.
- Devise and implement solutions that seamlessly scale with the growing needs of Uber's user base.
- Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement.
What you will need:
- BS or MS in Computer Science or a related technical discipline, or equivalent experience.
- Highly proficient in one of the following programming languages: Java, Go, C/C++. Good scripting skills and ability to pick up new ones.
- Systematic problem-solving approach and knowledge of algorithms, data structures, and complexity analysis.
- Experience building observability and metrics systems.
- Experience with highly available/fault-tolerant, large-scale systems which are in the critical path.
- 13+ years of experience building and managing distributed systems. Sound understanding of distributed system fundamentals.
- Exposure to Machine Learning & AI projects.
Key skills/competency
- Distributed Systems
- Payment Compliance
- Scalability
- Reliability
- Machine Learning
- Artificial Intelligence
- Workflow Orchestration
- System Architecture
- Java/Go/C++
- Algorithms & Data Structures
How to Get Hired at Uber
- Research Uber's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for payment compliance: Highlight experience in distributed systems, financial technology, and scalable architecture.
- Showcase ML/AI project leadership: Emphasize contributions to automation, data processing, or decisioning systems.
- Prepare for systems design interviews: Focus on designing high-throughput, fault-tolerant, and secure payment platforms.
- Demonstrate strong problem-solving skills: Be ready to discuss complex algorithmic challenges and their practical solutions at Uber.
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