**About the Role** Payment Compliance Engineering systems sit on the critical path for whether an entity can go online and get paid. This is driven by policy/process evaluations across regulatory regions and Line of Businesses which is achieved through policy evaluations, decisioning, workflow orchestration, external vendor integrations, and case adjudication platforms that span across earners and spenders. We also work with multiple LoB teams to influence end user experience to help make every entity compliant faster. The ideal candidate will lead by example, championing engineering excellence while driving research and shaping/delivering the team’s technical vision. **\-\-\-\- What you will do ----** 1. Lead the design and architecture of a high-performance payment compliance infrastructure, prioritizing scalability, reliability, accuracy and efficiency. 2. Research and lead projects which utilise Machine Learning and AI to enable faster document processing & transcription, automated case adjudications, automated matching, automate support etc. 3. Collaborate with several cross-functional teams to define requirements and translate them into technical specifications. 4. Develop and implement state-of-the-art process workflow orchestrations, decisioning, reconciliation algorithms, enhancing payment compliance infrastructure offerings 5. Devise and implement solutions that seamlessly scale with the growing needs of our user base. 6. Mentor junior engineers, fostering a culture of knowledge exchange and continuous improvement **\-\-\-\- What you will need ----** 1. BS or MS in Computer Science or a related technical discipline, or equivalent experience. 2. Highly proficient in one of the following programming languages: Java, Go, C/C++. Good scripting skills and ability to pick up new ones. 3. Systematic problem solving approach and knowledge of algorithms, data structures and complexity analysis. 4. Experience building observability, metrics system \-\-\-\- Preferred Qualifications ---- 1. Experience with highly available/fault tolerant, large scale systems which are in critical path 2. 10+ years of experience building and managing distributed systems. Sound understanding of distributed system fundamentals 3. Exposure to Machine Learning & AI 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](mailto:accommodations@uber.com).