Senior Backend and Data Engineer, Telematics

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. 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! You can read about some of the products that the Telematics powers in this blog post: https://www.lyft.com/blog/posts/lyfts-impact-on-road-safety 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 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.