Software Engineer, Data Pipelines

Lyft is seeking a Software Engineer for their Data Pipelines team in Toronto, focusing on building and maintaining critical data infrastructure that impacts millions of drivers and passengers daily. The role is part of the Infrastructure team, which is known for developing innovative solutions at scale and contributing to open-source projects like Envoy Proxy.

The position involves working with Kafka as the primary data streaming platform and managing various services to handle data distribution to internal customers. Key responsibilities include maintaining system metrics, developing tooling for improved reliability and scalability, and participating in on-call rotations to ensure platform stability.

This is an excellent opportunity for engineers with 2+ years of experience who are passionate about building robust distributed systems. The role requires proficiency in languages like Go and Python, along with experience in AWS and infrastructure tooling such as Kubernetes, Terraform, and Docker.

Lyft offers a comprehensive benefits package including health coverage, mental health support, family benefits, and flexible PTO. The company promotes a collaborative work environment with a hybrid work model requiring 3 days in office. The salary range is competitive at CAD $108,000 - $135,000, plus potential equity and benefits.

The role combines technical challenges with real-world impact, as you'll be working on systems that directly affect transportation services for millions of users. Lyft's commitment to open-source contributions and solving problems at scale makes this an exciting opportunity for engineers looking to make a meaningful impact while working with cutting-edge technology.