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Salary
$78k – $97k per year
Location
Remote/Hybrid (Toronto, Canada)
Seniority
Middle · 3+ years exp
Overview
Company
Impact
Profile match
Lyft is a transportation network company that connects people to reliable rides, reshaping the way we navigate our communities. By leveraging innovative technology and AI, Lyft enhances mobility solutions tailored for urban lifestyles, making it easier for users to travel conveniently and efficiently.

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-functional partners

Benefits:

  • Extended health and dental coverage options, along with life insurance and disability benefits
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • Access to a Lyft funded Health Care Savings Account
  • RRSP plan with company match to help save for your future
  • In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
  • Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
  • Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. 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 if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

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