Senior Software Engineer, Telematics

Job Description

<p>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.</p><p>Our technology stack runs on AWS, Kubernetes, Spark, and Apache Airflow. In this role, you will work with passionate and talented colleagues from software engineering (mobile, server, data), machine learning, and data science, on building industry-leading innovations that improve safety and reduce accidents on the platform.</p><p>If you are a seasoned engineer passionate about high-volume data pipelines, microservices, and cross-disciplinary collaboration, and possess skills to maintain and improve services, you will thrive on our team!</p><p>Read about some of the products powered by Telematics in this blog post: https://www.lyft.com/blog/posts/lyfts-impact-on-road-safety</p><p><b>Responsibilities :</b></p><ul><li>Serve as a reliable source of risk insights for other teams at Lyft, championing safety and affordability.</li><li>Lead large projects, ensuring end-to-end execution with high quality and reliability.</li><li>Work with Data Scientists to productionize models that derive safety insights from Telematics data.</li><li>Support team members, fostering a collaborative environment.</li><li>Maintain the stability and reliability of Telematics systems.</li><li>Define and refine the roadmap for Telematics projects in collaboration with cross-functional teams.</li><li>Utilize expertise in Python, AWS, Spark, SQL, etc., to deliver scalable solutions.</li><li>Participate in on-call rotations, respond to incidents, and support mitigation efforts.</li></ul><p><b>Experience :</b></p><ul><li>5+ years of software engineering experience.</li><li>Experience developing large-scale distributed systems.</li><li>Interest or experience in running large batch jobs with Spark or similar architectures.</li><li>Interest or experience in library development.</li><li>Experience with serving, versioning, and monitoring ML models in production.</li><li>Experience defining API schemas and developing microservices.</li><li>Knowledge of S3, Spark, Presto, Parquet.</li><li>Strong communication skills and ability to collaborate across teams.</li></ul><p><b>Benefits :</b></p><ul><li>Health, dental, life, and disability insurance.</li><li>Mental health and family-building benefits.</li><li>Child care and pet benefits.</li><li>Lyft-funded Health Care Savings Account.</li><li>RRSP plan for future savings.</li><li>Flexible paid time off policy, with 15 days for salaried team members, plus additional days per year of service.</li><li>18 weeks of paid parental leave for new parents.</li><li>Subsidized commuter benefits.</li></ul><p>Lyft is committed to diversity and equal employment opportunities. We prohibit discrimination based on race, ethnicity, gender, age, disability, and other protected categories. Accommodation requests are available during the application process.</p><p>This role is hybrid, requiring in-office work 3 days/week (Mondays, Wednesdays, Thursdays), with flexibility for up to 4 weeks remote work per year. #Hybrid</p><p>The base salary range for this position in Toronto is CAD 136,000–187,000, dependent on experience and qualifications. Additional compensation may include equity, bonuses, and benefits.</p>
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