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Lyft
Lyft

A ride whenever you need one.

Senior Software Engineer, Mapping

직무프론트엔드
경력시니어급
위치Toronto, Canada
근무오피스 출근
고용정규직
게시3개월 전

보상

CA$141,760 - CA$177,200

지원하기

복지 및 혜택

스톡옵션

의료보험

유연 근무제

필수 스킬

Python

PostgreSQL

React

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.

At the heart of Lyft’s platform is a sophisticated map-building engine that transforms raw data into a precise representation of the world. We are responsible for the end-to-end lifecycle of our map data, processing billions of data points to extract and validate the structural elements of our road network. Our mission is to build a highly accurate, scalable map by distilling patterns from driving locations and sensor data into verified map attributes. By perfecting the core map build, we enable the entire platform to navigate complex urban environments with confidence - ensuring that every routing decision is based on a map with validated road rules, accurate geometry, and optimized drop-off locations.

Lyft is looking for experienced software engineers 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.

Responsibilities:

  • 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

  • Can help lead large projects from idea to positive execution

  • Unblock, support and communicate with internal partners to achieve results

Experience:

  • 5+ years of software engineering industry experience

  • Experience with object-oriented programming (Python, Java, Go)

  • Experience in distributed systems

  • Experience working with databases, relational or NoSQL

  • Write clear, scalable and clear design documentation

  • Design, build and improve a set of team owned components

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 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

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 $136,000 - CAD $170,000, 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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Lyft 소개

Lyft

Lyft

Public

Lyft, Inc. is an American company offering ride-hailing services, motorized scooters, and bicycle-sharing systems in the United States and Canada, and, via its Free Now mobile app, Europe. Lyft is the second-largest ridesharing company in the United States after Uber.

1,001-5,000

직원 수

San Francisco

본사 위치

$3.2B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

4.0

보상

3.0

문화

4.2

커리어

3.5

경영진

2.5

65%

지인 추천률

장점

Flexible hours/schedule

Supportive team/colleagues

Good work-life balance

단점

Pay/salary issues

Inconsistent/unpredictable hours

Management/communication problems

연봉 정보

54개 데이터

Junior/L3

Mid/L4

Junior/L3 · Designer

2개 리포트

$160,784

총 연봉

기본급

$123,680

주식

-

보너스

-

$129,168

$192,400

면접 후기

후기 2개

난이도

3.0

/ 5

소요 기간

14-28주

합격률

50%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Assessment

4

Technical Interview

5

Onsite/Virtual Interviews

6

Offer

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge