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.

EXPERIENCE:

• 3+ years of experience working on teams responsible for software development, automation, and systems engineering.
• Bachelor’s Degree or equivalent experience in Computer Science or a relevant discipline.
• Proficiency in creating production-ready code in one or more high-level languages, such as Go or Python.
• Experience operating infrastructure in public cloud environments, such as AWS, including familiarity with Managed Services.
• Experience in building and maintaining observability infrastructure to support robust monitoring and analysis.
• Familiarity with Kubernetes and managing multi-cluster environments in production settings
• Experience using monitoring, alerting, and logging systems such as Prometheus, Grafana and Kibana.

• Maintain and analyze metrics from operating systems, control planes, and applications to assist in fault detection and performance enhancement.
• Maintain, improve, and develop tooling and systems that enhance the reliability, scalability, and efficiency of our platform.
• Assist engineering teams in defining service-level objectives (SLOs) and provide the necessary tooling to monitor and balance feature development speed and reliability.
• Collaborate with cross-functional engineering teams to enhance Lyft’s observability and meet developers’ needs, ensuring alignment with design and production readiness reviews, platform management, and capacity planning.
• Keep and maintain our documentation at a world-class level by documenting infrastructure operations processes and insights.
• Identifying repeatable actions, and automating repetitive tasks.
• Participate in our team’s on-call rotations, respond to incidents, and support other teams to mitigate customer-impacting events.