About this role
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.
Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don’t just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen.
The Mapping organization at Lyft has spent the last few years building up Lyft’s mapping assets and capabilities by combining many internal and external data sources and services into an increasingly powerful and mission-critical technology stack. In doing so, we’ve also enabled new user experiences and features across all of Lyft’s products, including rideshare industry leading firsts like CarPlay, Android Auto, and real-time driver feedback!
We are hiring a Software Engineer to join our Map Data (Core Maps) team that builds the systems responsible for the accuracy, freshness, and coverage of the map data behind every Lyft trip. You'll own core pieces of our ingestion, conflation, and quality infrastructure work that directly moves ETA accuracy, pickup precision, and rider and driver experience.
In this role, you'll collaborate with engineering, product, data science, analytics, operations, and AI/ML teams on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences.
Responsibilities:
• Drive high-impact projects and innovate new solutions to provide the best user experience.
• Work closely with cross-functional teams and partner teams to develop solutions based on technology and business needs, and advance team’s goals and priorities
• Independently lead features from idea to positive execution and launch
• Unblock, support and communicate with internal partners to achieve results
• 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, as well as on call rotations
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
Experience:
• BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
• 3+ years of software engineering industry experience
• Extensive experience in object oriented programming, ideally in GoLang or Python
• Experience with Airflow and DAGs in generally is a huge plus
• Experience in backend software development of distributed systems and concurrency
• Experience working with databases, relational or NoSQL
• Strong oral and written communication skills, and ability to collaborate with and influence cross