**About the Role** The Storage Platform – Redis offers a standardized, integrated, and fully managed caching infrastructure. Our solutions encompass both proprietary and open-source technologies designed to support large-scale workloads, deliver high-quality service, and ensure dynamic scalability and reliability. This platform underpins Uber’s core operations and critical workflows. As the TLM (Tech Lead Manager) of a Redis team, you will oversee a group of software engineers dedicated to enhancing Redis’s core functionality, expanding its modules, improving reliability, scalability, and performance, and creating abstraction layers to streamline communication and management of Redis clusters. In this role, you will collaborate closely with teams based in California and Seattle to align on roadmaps, achieve business objectives, and establish clear career development paths for team members. Fostering a collaborative environment with stakeholders and partner teams will be essential to your success. \- What the Candidate Will Do ---- Tech Lead Responsibilities 50% 1. Collaborate with stakeholders and cross-functional teams to lead development efforts, ensuring the infrastructure integrates seamlessly with diverse storage backends and effectively supports application engineers. 2. Enhance reliability and efficiency through thoughtful design and automation, focusing on performance optimization, scalability, observability, and monitoring to achieve operational excellence. 3. Architect, prototype, develop, test, and deploy the next generation of Uber’s storage infrastructure, adhering to high standards for performance, reliability, and usability. Manager responsibilities 50%: 1. Define and manage project plans and roadmaps that align with the overarching vision of Core Infrastructure and Foundations. 2. Mentor, coach, and support the growth of a team of talented software engineers, helping them achieve their professional goals. 3. Shape and uphold the engineering culture and processes to guide the future development and success of the team. \-\-\-\- Basic Qualifications ---- 1. Bachelor's degree or higher in an engineering field (e.g. Computer Science, Computer Engineering, etc.) with 10+ years experience designing, implementing large scale, high throughput distributed systems 2. Comprehensive, in-depth knowledge of multiple programming languages, cache, and messaging technologies. Our stack includes programming languages like Go, Java, and C/C++; cache like Redis/Valkey, MemCache, EVCache and message queues like Kafka. 3. Extensive, hands-on experience with large scale system’s reliability, fault-tolerant, high-availability, multi-datacenter/cloud architectures, and proven history of addressing complex, organization-wide technical and business challenges. 4. A strong commitment to driving continuous improvements in engineering practices, including coding, testing, monitoring, deployment, and post-production processes. 5. A passion for mentoring and inspiring engineers, fostering their professional growth and team development. \-\-\-\- Preferred Qualifications ---- 1. Hands-on development experience with Redis/Valkey/MemCache core modules, or libraries, and a background in contributing to open-source projects is highly desirable. 2. Proven expertise in building or managing large-scale, high-traffic caching systems with extreme reliability and scalability needs. 3. Strong written and verbal communication skills, with the ability to craft detailed technical documentation. 4. Experience leading large projects or managing teams of three or more engineers. For Seattle, WA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber is proud to be an Equal Opportunity/Affirmative Action 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](https://forms.gle/aDWTk9k6xtMU25Y5A). 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.