-
View all jobs
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:
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the San Francisco area is $128,000 - $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
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
- 3+ 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)
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan to help save for your future
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Subsidized commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the San Francisco area is $128,000 - $160,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
Key Skills
Ranked by relevance
kafka
distributed computing
san
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Software Engineer, Ad Infra
2026-05-26
Full-time
Mid-Senior
Canada
Ground Passenger Transportation
Engineering
View Job Details
Related
Software Engineer (Backend), Growth Platforms
2026-05-16
Full-time
Mid-Senior
Canada
Ground Passenger Transportation
Engineering
View Job Details
Related
Machine Learning Engineer, Lyft Business
2026-04-24
Full-time
Mid-Senior
United States
Ground Passenger Transportation
Engineering
Login to Apply
- Posted
- May 02, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- San Francisco County
- Company
- Lyft
Industries
Ground Passenger Transportation
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Software Engineer, Ad Infra
2026-05-26
Full-time
Mid-Senior
Canada
Ground Passenger Transportation
Engineering
View Job Details
Related
Software Engineer (Backend), Growth Platforms
2026-05-16
Full-time
Mid-Senior
Canada
Ground Passenger Transportation
Engineering
View Job Details
Related
Machine Learning Engineer, Lyft Business
2026-04-24
Full-time
Mid-Senior
United States
Ground Passenger Transportation
Engineering