At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Marketplace teams are at the heart of our products and decision-making. We're looking for passionate, driven engineers to build systems that empower our users (both Drivers and Riders) to make the most effective use of Lyft's products and experiences by making them more predictive, personalized, and adaptive. We're looking for someone who is passionate about solving problems with distributed computing, ML, data alongside building reliable systems, and is excited about working in a fast-paced, innovative, and collegial environment.
Forecasting and Real-Time Optimization Platform (FORTOP) team in Lyft's Marketplace org is responsible for building and supporting the myriad real-time demands to run the business efficiently. We work with Product & Science to improve our driver and passenger experiences through real-time features, covering Dynamic Pricing, Realtime Supply Management, Dispatch, and more. You will be working on a wide array of challenges ranging from large scale distributed systems, sub millisecond request serving, building a unified feature generation ecosystem. If you're interested in being at the center of Lyft's efforts to deliver delightful experiences to our passengers and drivers, this might be the role for you.
Responsibilities:
Design, develop, deploy, monitor, operate and maintain existing or new elements of our platform
Collaborate with engineers and partners in science & product to drive projects from inception, specification, execution, or to launch
Build and operate large-scale distributed systems (Beam, Flink, Kafka, etc.)
Design and own the way real-time data is consumed, stored, and shared with the entirety of Lyft
Write well-crafted, well-tested, readable, maintainable code
Participate in code reviews to ensure code quality and distribute knowledge, including Open-Source projects
Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices
Experience:
1+ years of software engineering industry experience
BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
Experience in backend software development of large-scale distributed systems
Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms, etc)
Preferred: Experience in streaming platforms (Beam,Flink, or similar) and/or distributed messaging (Kafka, Kinesis, or similar)
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