Sr Software Engineer, Backend

Sr Software Engineer, Backend Department: Engineering Team: Backend Location: Hyderabad, India Type: Full-Time As part of risk team, you will be responsible to lead the technical strategy for frontend and build product features for both internal and external customers while revamping the existing user experience. \-\-\- What the Candidate Will Do ---- 1. Writes reliable, clear, efficient, and well-tested code. 2. Designs systems by re-using existing solutions, building new ones when needed, and considering future needs. 3. Delivers results efficiently, manages tasks well, solves problems, and takes responsibility. 4. Builds strong relationships, respects others, and resolves conflicts constructively. 5. Improves efficiency by identifying and fixing problems in Uber's technology and teams. 6. Contributes to a positive work environment and the broader tech community. \-\-\-\- Basic Qualifications ---- 1. Bachelor’s degree in Computer Science, Software Engineering, or a related field. 2. Proficiency in at least one programming language such as Java, Go, C++, etc. 3. Deep understanding of computer systems, which may include experience with backend services, large-scale systems, multi cloud infrastructure, etc. 4. Ability to contribute to technical innovation and problem-solving within a team setting. 5. 6+ years of experience as a software engineer and building large-scale distributed system 6. Experience in architecture design and developing high availability and high-performance systems. \-\-\-\- Preferred Qualifications ---- 1. Strong passion to learn new technologies quickly and adapt to a rapidly evolving business and technological landscape. 2. Strong teamwork and communication skills to effectively collaborate with other team members and stakeholders. 3. Enthusiasm for embracing new challenges and continuous learning to drive innovation. 4. Proven track record of scaling systems on a multi-cloud infrastructure. 5. Demonstrated ability to mentor junior engineers and drive engineering excellence. 6. Experience with machine learning infrastructure and AI technologies i