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Manager II, Engineering

Uber
Karnataka
Experience3 years
Salary Not disclosed
LocationKarnataka
Job TypeFull time
Skills: Data Science SQL
Job Description
Job Title: Manager II, Engineering Company: Uber Job Category: Data Science Roles & Responsibilities: 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: 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. * 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. Work Location: KA, India Availability: Full time
Requirements
\- Basic Qualifications \- \- 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. You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. Key Skills: Data Science, SQL Salary: Not disclosed
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