At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they bring.

If you are passionate about building large-scale data processing systems and are motivated to make an impact in creating a robust and scalable data platform - we would love to talk to you. Data is key to how we make decisions; it’s the core of our business helping us create an exceptional transportation experience for our customers and providing insights into the effectiveness of our product & features.

More specifically, Lyft is one of a small number of companies whose core business actually moves in real-time. Our Streaming team is responsible for building and supporting the myriad real-time demands of the business. We work with Product to improve our driver and passenger experiences through real-time features. ETA, pricing, dispatch, and more - this work is at the heart of Lyft’s business and is a huge focus for the company in 2018 and 2019. 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 and own the way real-time data is consumed, stored, and shared with the entirety of Lyft
• Build and operate large-scale distributed systems (Kafka, Flink, Zookeeper, etc)
• 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 and Skills:

• 3+ years of experience in Streaming and Real-time Applications
• Experience in either streaming platforms (Flink, Spark, or similar) or distributed messaging (Kafka, Kinesis, or similar)
• Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault-tolerance, consensus algorithms, etc)
• BA/BS in Computer Science, Math, Physics, or another technical field, or equivalent