About the position
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.
Responsibilities
- 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.
- Enhance reliability and efficiency through thoughtful design and automation, focusing on performance optimization, scalability, observability, and monitoring to achieve operational excellence.
- Architect, prototype, develop, test, and deploy the next generation of Uber's storage infrastructure, adhering to high standards for performance, reliability, and usability.
- Define and manage project plans and roadmaps that align with the overarching vision of Core Infrastructure and Foundations.
- Mentor, coach, and support the growth of a team of talented software engineers, helping them achieve their professional goals.
- Shape and uphold the engineering culture and processes to guide the future development and success of the team.
Requirements
- Bachelor's degree or higher in an engineering field (e.g. Computer Science, Computer Engineering, or comparable)
- Minimum of 10+ years experience designing, implementing large scale, high throughput distributed systems
- Comprehensive, in-depth knowledge of multiple programming languages, data storage systems, and messaging technologies.
- Programming languages like Go, Java, and C/C++; data stores like Redis, MemCache, Cassandra, and DynamoDB; and message queues like Kafka.
- Industry-recognized expertise in one or more technical domains, serving as the go-to authority for critical business areas.
- Proven history of building scalable, high-availability systems that address complex, organization-wide business challenges.
- Extensive, hands-on experience with fault-tolerant systems, multi-datacenter/cloud architectures, and expertise in at least one area such as scalable storage or databases.
- A strong commitment to driving continuous improvements in engineering practices, including coding, testing, monitoring, deployment, and post-production processes.
- Outstanding written and verbal communication skills, with the ability to produce detailed and precise technical documentation.
- A passion for mentoring and inspiring engineers, fostering their professional growth and team development.
Nice-to-haves
- Hands-on experience with Redis cores, modules, or libraries, and a background in contributing to open-source projects is highly desirable.
- Proven expertise in building or managing large-scale, high-traffic caching systems.
- Strong written and verbal communication skills, with the ability to craft detailed technical documentation.
- Experience leading large projects or managing teams of five or more engineers.
Benefits
- Eligible to participate in Uber's bonus program
- May be offered an equity award & other types of compensation
- Various benefits as detailed on Uber's careers benefits page
