lyft
San Francisco Office · On-site · Full-time
<p>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.</p> <div id="message-list_1790123314.378719"> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div> <div>Lyft is looking for an experienced Backend Engineer from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.<br><br><strong>About the Team:</strong><br>The Business Travel team enable organizations to provide customized ride benefits at scale - whether that's employees expensing business trips and earning rewards.<br><br>As a backend engineer, you'll build systems that power complex benefit rules, location restrictions, and integrations with expense providers like Concur and Expensify. This is a high-growth area for Lyft with meaningful impact potential.<br><br><strong>Responsibilities:</strong></div> <ul> <li>Write well-crafted, well-tested, readable, maintainable code</li> <li>Have the ability to explain the various trade offs made in decisions</li> <li>Participate in code reviews to ensure code quality and distribute knowledge</li> <li>Implement tasks with good quality code leading to positive execution</li> <li>Participate in resolving ongoing incidents</li> <li>Unblock, support, effectively communicate, and obtain buy-in within your team to achieve results</li> </ul> <div><br><strong>Experience:</strong></div> <ul> <li>5+ years of software engineering experience, with a track record of designing and shipping production systems at scale</li> <li>Strong system design instincts — you can reason through distributed systems trade-offs, identify failure modes, and choose the right architecture for the problem</li> <li>Practical experience with AI development to improve product experiences</li> <li>Hands-on experience with large-scale, fault-tolerant distributed systems in a cloud environment (AWS, GCP, or Azure)</li> <li>Proficiency in object-oriented programming; experience with the languages and frameworks used in our stack is a plus</li> <li>Solid foundations in relational and NoSQL databases — data modeling, query optimization, and operational considerations</li> <li>Experience in finance including expensing or travel platforms is a strong plus</li> <li>Fin Tech expe
lyft
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