Software Engineer, Forecasting and Real Time Optimization Platform at Lyft
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

16 Nov, 25

Salary

88000.0

Posted On

16 Aug, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Science, Kafka, Availability, Computer Engineering, Distributed Systems, Fault Tolerance, Software Development, Reliability

Industry

Information Technology/IT

Description

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)
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 practice
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