Staff Infrastructure Engineer, Observability Solutions Specialist

2 weeks ago

Toronto, Ontario, Canada Lyft Full time

At Lyft, our mission is to revolutionize transportation with innovative solutions. To achieve this, we rely on our Infrastructure team to build scalable software that solves complex problems. As an Observability team member, you will play a crucial role in ensuring the operational health of our logging and metrics infrastructure. You will monitor system availability, take a holistic view of our platform performance, and build software to automate infrastructure platform operations and management. By measuring and monitoring our operations, you will identify opportunities to improve our systems and push our platform forward.

Responsibilities:

  • Provide technical mentorship within the team and lead by example in developing robust, scalable, and efficient observability solutions.
  • Drive cross-functional collaboration with engineering teams to advance Lyft's observability capabilities, ensuring they align with business objectives and developers' requirements.
  • Play a pivotal role in steering the observability roadmap and strategic direction, utilizing a comprehensive understanding of business context to influence key decisions and initiatives.
  • Design, develop, and deploy advanced tooling and systems that enhance the reliability, scalability, and efficiency of our platform.
  • Operate and improve our infrastructure using industry best practices and tools, setting standards for excellence.
  • Document infrastructure operations processes and insights, identify repeatable actions, and lead the automation of repetitive tasks.
  • Participate in our team's on-call rotations, respond to incidents, and provide expert support to other teams in mitigating customer-impacting events.

Experience:

  • 8+ years of experience in roles focused on software development, automation, and systems engineering, with a proven track record of technical leadership.
  • Bachelor's Degree or equivalent experience in Computer Science or a relevant discipline, with a strong foundation in observability principles.
  • Proven expertise in architecting and scaling observability infrastructure to support comprehensive monitoring and analysis in large production environments.
  • Advanced proficiency in creating production-ready code in high-level languages, such as Go, Python.
  • Extensive experience operating large-scale infrastructure in public cloud environments, such as AWS, and with Managed Services like Amazon OpenSearch Service and Amazon Managed Service for Prometheus.
  • Deep experience with Kubernetes and Envoy Proxy, managing multi-cluster environments in large-scale production settings.
  • Familiarity with distributed storage technologies such as S3, RDS, DynamoDB, Aurora, and distributed configuration systems such as Zookeeper and etcd.
  • Expertise in deploying and managing monitoring, alerting, and logging systems at massive-scale, such as Prometheus, Grafana, Kibana, Telegraph, and M3.

Benefits:

  • Extended health and dental coverage options, along with life insurance and disability benefits.
  • Mental health benefits.
  • Family building benefits.
  • Access to a Health Care Savings Account.
  • In addition to provincial observed holidays, team members get 15 days paid time off, with an additional day for each year of service.
  • 4 Floating Holidays each calendar year prorated based off of date of hire.
  • 10 paid sick days per year regardless of province.
  • 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.

Lyft is an equal opportunity employer and welcomes applications from diverse candidates. We strive for a healthy and safe workplace and strictly prohibit 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 now if you wish to make such a request.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Thursdays and a team-specific third day. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

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