Senior Infrastructure Engineer

4 weeks ago


Old Toronto, Ontario, Canada Lyft Full time

About Lyft: Lyft is dedicated to enhancing the lives of individuals through superior transportation solutions. Our commitment to fostering an open, inclusive, and diverse workplace is at the core of our mission.

Role Overview: As a key member of the Observability team, you will oversee the operation and upkeep of our logging and metrics systems. Your role is crucial in ensuring that all teams at Lyft maintain awareness of their product's operational health by continuously monitoring system availability and performance.

Key Responsibilities:

  • Provide expert technical guidance within the team, setting an example in the development of robust, scalable, and efficient observability solutions.
  • Facilitate cross-departmental collaboration with engineering teams to enhance Lyft's observability capabilities, ensuring alignment with business goals and developer needs.
  • Influence the strategic direction of the observability roadmap, leveraging a deep understanding of business context to drive key decisions and initiatives.
  • Design, develop, and implement advanced tools and systems that improve the reliability, scalability, and efficiency of our platform.
  • Enhance our infrastructure by employing industry best practices and tools, establishing standards for excellence.
  • Document operational processes and insights, identify repeatable actions, and lead the automation of routine tasks.
  • Engage in on-call rotations, respond to incidents, and provide expert support to other teams in managing customer-impacting events.

Qualifications:

  • 8+ years of experience in software development, automation, and systems engineering, demonstrating a strong record of technical leadership.
  • Bachelor's Degree or equivalent experience in Computer Science or a related field, with a solid grounding in observability principles.
  • Proven ability to architect and scale observability infrastructure for comprehensive monitoring and analysis in large production environments.
  • Advanced skills in producing production-ready code in high-level programming languages, such as Go and Python.
  • Extensive experience managing large-scale infrastructure in public cloud environments, including AWS, and utilizing Managed Services like Amazon OpenSearch Service and Amazon Managed Service for Prometheus.
  • Deep expertise in Kubernetes and Envoy Proxy, particularly in managing multi-cluster environments in large-scale production settings.
  • Familiarity with distributed storage technologies such as S3, RDS, DynamoDB, Aurora, and distributed configuration systems like Zookeeper and etcd.
  • Expertise in deploying and managing monitoring, alerting, and logging systems at scale, including Prometheus, Grafana, Kibana, Telegraph, and M3.

Benefits:

  • Comprehensive health and dental coverage options, alongside life insurance and disability benefits.
  • Mental health support services.
  • Family-building assistance.
  • Access to a Health Care Savings Account.
  • In addition to standard holidays, team members receive 15 days of paid time off, with an additional day for each year of service.
  • 4 Floating Holidays each calendar year, prorated based on the date of hire.
  • 10 paid sick days annually, regardless of location.
  • 18 weeks of paid parental leave for biological, adoptive, and foster parents.

Diversity and Inclusion: Lyft is committed to building a diverse workforce and believes in equal employment opportunities without discrimination. We strive for a healthy and safe workplace and prohibit harassment of any kind. Accommodations for individuals with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.

Work Schedule: This role follows a hybrid work model, requiring team members to work in the office three days a week, with flexibility to work remotely for up to four weeks each year.



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