.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. We're looking for passionate, driven engineers to build systems that empower our users (i.E. 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.As a **Marketplace** Engineer on the Pricing team, you will be developing our core systems for managing growth and demand & supply balance via pricing and rider incentives. 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.Our **Driver Organization** is working on creating the best onboarding and compliance experience in the industry. We help drivers quickly get on the road and start earning in over 300 markets in both the U.S. and Canada. We create delightful experiences by streamlining the complex process of collecting driver documents, conducting safety checks, and ensuring compliance with local regulations. We leverage the latest technologies in image recognition and intelligent automation to make driving for Lyft easy. The teams collaborate closely with legal, operations, design, and marketing to deliver business-critical initiatives.**Responsibilities**:- Be responsible for, design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure.- Write well-crafted, well-tested, readable, maintainable code/scripts and configurations- Have a good grasp and ability to explain the various trade-offs made in decisions- Participate in code reviews to ensure code quality and distribute knowledge- Lead projects from idea to positive execution Analyze our internal systems and processes and locate areas for improvement/automation Incorporate considerations for business context, failure modes, monitoring, compliance, and security in your work- Proactively participate in resolving ongoing incidents- Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results Share your knowledge by giving brown bags, tech talks, 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- 4+ years of software engineering/production infrastructure industry experience- Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems- Experience working with public cloud platforms (e.G