At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

We are seeking an experienced Software Engineer to join the Mapping organization and build, grow and maintain Lyft’s infrastructure and data for places. Places data is the backbone of Lyft's search system, supporting millions of rides by helping our riders and drivers reach their destinations. Our focus is to ensure search has the most recent and accurate place data for all of our users and that the pick-up/drop-off point used by guidance and routing is the most optimal for our riders and drivers. Additionally we use place data to create new product experiences in collaboration with teams across Lyft. This team has a history of enabling rich and creative features that directly influence the product for all our users. We constantly innovate and incorporate cutting-edge technologies to make the lives of our community more enriched.

We are looking for a senior software engineer with a passion for mapping and a proven experience in microservices, big-data processing and experience in building scalable solutions in cloud environments.

• Lead projects, ensuring end-to-end execution with a focus on high quality and reliability.
• Actively unblock and support team members, fostering a collaborative and efficient work environment.
• Take a lead role in the ongoing maintenance of our mapping services, ensuring their stability and reliability.
• Utilize your expertise in Python, Golang, AWS, and SQL to deliver robust and scalable solutions.
• Drive incident response through operational best practices.
• Build and foster partnerships throughout the organization with a devotion to exceptional customer experience.
• Never settle for the status quo, deliver product and operational excellence for Mapping.
• Write well-crafted, well-tested, readable, maintainable code.
• Participate in code reviews to ensure code quality and distribute knowledge
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices.
• Unblock, support and communicate with internal partners to achieve results.

• 5+ years of professional software engineering experience
• Strong background in microservices architecture
• Extensive experience in object-oriented programming (ideally python or Go)
• Hands-on experience with cloud computing using AWS, GCP or Azure
• Interest in Mapping technologies

• Experience with mapping, geospatial data, place data, or reverse geocoding.
• Desire to build great product experiences.
• Experience with machine learning.

• 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.