Senior Software Engineer, Telematics

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

Job summary

Join a forward-thinking company as a backend software engineer in the Telematics team, where you'll leverage your expertise in Python and AWS to build innovative solutions that enhance safety and affordability. This role offers the chance to collaborate with talented colleagues from diverse fields, working on high-volume data pipelines and microservices. You'll lead impactful projects, ensuring the stability and reliability of systems that drive industry-leading innovations. With a hybrid work schedule and a commitment to employee well-being, this position provides a unique opportunity to make a difference in the lives of drivers and riders alike.

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

18 weeks of paid time off for new parents

Subsidized commuter benefits

Qualifications

• 5+ years in software engineering with a focus on backend development.
• Experience with large-scale distributed systems and data processing.

Responsibilities

• Lead projects ensuring high quality and reliability in execution.
• Collaborate with Data Scientists to productionize safety insights.

Skills

Python

Backend Software Development

Microservices

Data Processing

Communication

Tools

AWS

Spark

SQL

Apache Airflow

Kubernetes

Job description

We are looking for an experienced backend software engineer to join our Telematics team. At Lyft, Telematics data is used to make Lyft safer by reducing accident risk, which in turn also makes Lyft more affordable for riders and a better way to earn a living for drivers. The Telematics team acts as a platform team that processes vast amounts of high-frequency ride data, serving our Telematics ML models (e.g. harsh braking, harsh acceleration, etc.) and deriving insights for partner teams.

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 (mobile, server and data), machine learning and data science, actuarial science on building industry-leading innovations that make Lyft safer by reducing the frequency and severity of accidents on the platform.

If you are a seasoned engineer with a passion for innovation, high-volume data pipelines, microservices, working in cross-disciplinary environments and possess the skills to ensure the ongoing maintenance and improvement of services, you will thrive on our team!

Responsibilities:

• Be a champion of the team’s safety and affordability mission by serving as a reliable source of risk insights for other teams at the company.
• Lead large projects, ensuring end-to-end execution with a focus on high quality and reliability.
• Work cross-functionally with Data Scientists to productionize models to derive safety insights from Telematics data, driving the team’s industry-leading innovation in this space.
• Actively unblock and support team members, fostering a collaborative and efficient work environment.
• Take a lead role in the ongoing maintenance of our Telematics systems, ensuring their stability and reliability.
• Collaborate with cross-functional teams to define and refine the roadmap for Telematics projects.
• Utilize your expertise in Python, AWS, Spark, SQL, etc. to deliver robust and scalable solutions.
• Participate in our teams on-call rotations, respond to incidents and support other teams mitigate customer impacting events.

Experience:

• 5+ years of software engineering industry experience.
• Experience in backend software development of large-scale distributed systems.
• Experience and/or interest in running large batch processing jobs with Spark or other large scale compute architectures.
• Experience and/or interest in Library development.
• Experience and/or interest in serving, versioning, monitoring ML models in production environments.
• Experience defining API schemas and developing backend services in a microservices environment.
• Experience with S3, Spark, Presto, Parquet.
• You're a great communicator, and can advocate for your proposals while also empathizing with your cross-functional teammates' goals and priorities.
• You collaborate well with a geographically distributed team.

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 136,000-187,000 CAD. 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.