About the Role As an Engineering Manager at Uber, you will lead a team of engineers and engineering managers in the development of global solutions, collaborating closely with product managers, data scientists, and other engineering teams. This role, within the Bangalore-based Payments organization (Disbursements Processing), entails leading, mentoring, and managing a high-performing, diverse team. This organization aims to leverage Payments as a competitive advantage by optimizing the paying and payment processes for both users and the business. The Disbursements Processing team manages global earner payouts, encompassing the following responsibilities: • Collaboration with over 20+ global external partners to facilitate worldwide earner payments. • Ensuring a reliable and consistent payout experience. • Developing and managing a scalable engineering platform with continuous enhancements. • Guaranteeing reliable weekly payments for 10 million earners globally. ---- What the Candidate Will Do ---- • Lead a 10-person engineering team and be responsible for: • Ideating, developing, and delivering payment product platforms. • Operational and engineering excellence initiatives. • Career growth within the organization by developing Staff-level individual contributors. • Creating organizational and cross-organizational impact by designing, iterating on, and delivering processes that support Uber engineering. • Partnering with diverse roles and individuals across various disciplines such as product management, talent acquisition, data science, and product design, spanning from fresh graduates to experienced professionals. ---- Basic Qualifications ---- • Experience in engineering management (4+ years), demonstrating the ability to manage a larger team • Skilled in guiding, mentoring, and coaching technically proficient teams, leveraging technical expertise and analytical abilities. Able to architect and design robust, high-scale systems, encouraging engineers to think broadly and generically in their solutions. • Knowledgeable in large-scale distributed systems, SQL/NoSQL storage, cloud services (AWS, GCP, OCI), transactional updates, asynchronous processing (Kafka), logging, monitoring, observability, and performance tuning. • Experienced in working with globally distributed, cross-functional teams, coordinating efforts to deliver multi-area solutions. • Proficient in cross-functional collaboration, influencing PMs, designers, data scientists, and upstream business/infrastructure teams to identify, prioritize, and solve problems. • Proven ability to grow teams, recruit/retain strong engineering leaders, and manage performance. • Familiar with client-side architecture for large native mobile and web platform teams, covering dependency management, feature flagging, UI trade-offs, and funnel design. • Adaptable to a strong, reliability-focused engineering culture while prioritizing business stakeholder value. Possesses self-learning capabilities, strong time management for scaling, precise communication, and strong collaborative traits. ---- Preferred Qualifications ---- • Experience with payments, including understanding global and regional nuances. • Proven ability to execute complex initiatives, delivering resilient, high-performing systems on time and meeting business goals and user needs. • Background in product experimentation, including statistical knowledge, experimentation mechanics, and analysis skills to interpret, debug, and challenge experimental results.