At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Marketplace teams are at the heart of our products and decision-making, owning everything from rider pricing to driver earnings, incentives, and efficient matching. We’re looking for passionate, driven engineers to build systems that empower our riders and drivers to have the best transportation experience possible through prediction, adaptivity, and personalization. We’re looking for someone who is excited about working in a fast-paced, innovative, and impactful environment to create reliable solutions to distributed computing, ML, and data problems.
The Pricing team is a centerpiece of Lyft’s Marketplace org, determining prices for all rideshare products and supporting new initiatives. We work with Product & Science to solve and implement complex pricing requirements, balancing the needs of riders, drivers, and the business goals. As an owner of one of the most critical flows in the company, you will work on a wide array of challenges such as latency-sensitive concurrency problems, large scale distributed systems, and experimentation. If you’re interested in playing a large part in demand / supply management and improving the Lyft customer experience, this could be a great fit for you.
Responsibilities:
- Help define the roadmap and architecture based on technology and business needs
- Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results
- Lead projects of multiple people from idea to positive execution
- Write clear, scalable and clear design documentation
- Write well-crafted, well-tested, readable, maintainable code
- Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions
- Participate in code reviews to ensure code quality and distribute knowledge
- Proactively participate in resolving ongoing incidents
- Share your knowledge through tech talks, mentorship, and evangelizing appropriate tech and engineering best practices
Experience:
- BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
- 5+ years of software engineering industry experience
- Extensive experience in object oriented programming, ideally in GoLang or Python
- Experience in backend software development of large-scale distributed systems and concurrency
- Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)
- Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
Benefits:
- Extended health and dental coverage options, along with life insurance and disability benefits
- Mental health benefits
- Family building benefits
- Access to a Health Care Savings Account
- In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service
- 4 Floating Holidays each calendar year prorated based off of date of hire
- 10 paid sick days per year regardless of province
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
Lyft proudly pursues and hires a diverse workforce. 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 now if you wish to make such a request.
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, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid