Staff Software Engineer, Financial Products

Staff Software Engineer, Financial Products Department: Engineering Team: Backend Location: Sunnyvale, United States Type: Full-Time **About the Role** The Financial Products team is a highly focused growth team with a mission to build out Uber’s financial services. As one of the company’s core strategic initiatives, the team is responsible for launching high-impact projects that push the boundaries of Uber's services and offerings and has a direct impact on the company's performance. On this team, we build user-facing fintech products and services that interface with the entire Uber platform, including Uber, UberEats, and Uber Driver apps. We ship on a global scale and pursue strategic projects in various markets to empower Uber’s business. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- - Collaborate closely with product, design, and business teams to design and implement new product ideas and business needs with a scalable solution - Drive adoption of best practices in code health, testing, and maintainability - Play an active role in the team's technical design choices, code reviews, and documentation - Mentor and guide junior engineers on technical designs, coding best practices, and architecture. \-\-\-\- Basic Qualifications ---- - Bachelor’s or Master’s degree in Computer Science or a related technical field, or equivalent practical experience. - 7+ years of experience as a Backend Engineer. - Proven experience in software development, with a strong understanding of programming languages such as Go, Java, Python, or C++. - Strong experience with backend development and microservices architecture. - Experience with data analytics and experimental design in an engineering context. - Excellent problem-solving skills and a passion for innovation. - Excellent communication and teamwork abilities. \-\-\-\- Preferred Qualifications ---- - Strong sense of ownership - Ability to work effectively in a fast-paced environment. - Highly efficient coding in Golang, Java or any similar languages. - Strong background in data analytics tools such as Hive,