Senior Software Engineer, Forecasting & Real-Time Optimization Platform

Lyft; Toronto; Hybrid; CAD 136,000 - 170,000; Full time

Job summary

A leading transportation company in Toronto is seeking experienced software engineers to join their team. You will work on building large-scale distributed systems and enhancing real-time user experiences. Ideal candidates have over 5 years of experience in backend development, and a strong background in distributed computing and machine learning. This is a hybrid position, requiring in-office work at least three days a week, with flexible remote options available.

Benefits

Extended health and dental coverage

Mental health benefits

Flexible paid time off

Subsidized commuter benefits

Qualifications

• 5+ years of software engineering industry experience.
• Experience in backend software development of large-scale distributed systems.
• Preferred: Experience in streaming platforms or distributed messaging.

Responsibilities

• Design, develop, deploy, monitor, operate and maintain systems.
• Collaborate with engineers and partners to drive projects.
• Build and operate large-scale distributed systems.

Skills

Software engineering

Distributed computing

Backend development

Machine learning

Collaboration

Education

BS/MS in Computer Engineering or Computer Science

Tools

Kafka

Beam

Flink

Job 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 Rideshare Experience & 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 and machine learning models, 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, real time forecasting, experimentation & ML modeling. 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 systems and infrastructure
• 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

• 5+ 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)
• Preferred: Experience in Machine Learning

Benefits

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top‑up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

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 at least 3 days per week, including 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 Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are 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.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.