Software Engineer

Lyft; Toronto; Hybrid; CAD 136,000 - 187,000; Full time

Job summary

Join a forward-thinking company as a Software Engineer on the Map Data team, where you will develop and maintain a cutting-edge mapping system that supports millions of rides. This role emphasizes collaboration and innovation, allowing you to lead large projects while working with advanced technologies like AWS and Kubernetes. You will play a crucial role in ensuring the accuracy and reliability of map data, contributing to optimal route planning. If you have a passion for building scalable solutions and a strong background in microservices, this opportunity is perfect for you. Enjoy a hybrid work environment and a range of benefits that support your well-being and career growth.

Benefits

Extended health and dental coverage

Mental health benefits

Family building benefits

Child care and pet benefits

Health Care Savings Account

RRSP plan

Flexible paid time off policy

18 weeks of paid time off for new parents

Subsidized commuter benefits

Qualifications

• 5+ years of software engineering experience with a focus on microservices.
• Expertise in Python or Go programming languages.

Responsibilities

• Lead projects ensuring high quality and reliability in mapping services.
• Collaborate with teams to define the roadmap for mapping projects.

Skills

Microservices Architecture

Python

Golang

AWS

SQL

Tools

Kubernetes

Spark

Apache Airflow

Job description

At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

We are seeking a Software Engineer to join our Map Data team, responsible for constructing and maintaining Lyftmap. This map serves as the backbone of Lyft's navigation system, supporting millions of rides by furnishing precise details about the road network. Our focus lies in both static and real-time modeling of the road network and swiftly delivering the required data. The objective is to provide accurate and rapid access to map data that will later be used for optimal route planning in terms of speed, cost-effectiveness, and safety. This involves processing a vast volume of ride data, road network data, and real-time events to facilitate timely and precise access to essential information.

We are looking for an engineer with proven expertise in system architecture, microservices, and big-data processing and experience in building scalable solutions in the cloud environments.

Our technology stack runs on AWS, Kubernetes, Spark and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.

Responsibilities:

• Collaborate with cross-functional teams to define and refine the roadmap for mapping projects.
• Lead large projects, ensuring end-to-end execution with a focus on high quality and reliability.
• Provide technical guidance on the implementation of microservices and contribute to the evolution of our architecture.
• 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.

Experience:

• 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

If you are a seasoned engineer with a passion for innovation, microservices, and possess the skills to ensure the ongoing maintenance and improvement of services, we invite you to join our dynamic team. Apply now to be part of an exciting journey in the world of mapping technology.

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 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, Wednesdays, and Thursdays. 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 $187,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.