Senior Infrastructure Engineer, Observability
1 month ago
We are seeking an experienced Infrastructure Engineer to join our Observability team at Lyft. As a key member of our team, you will be responsible for the operation and maintenance of our logging and metrics infrastructure. Your expertise will ensure that all teams at Lyft are aware of the operational health of their products by monitoring system availability and taking a holistic view of our platform performance.
Responsibilities- Maintain and analyze metrics from operating systems, control planes, and applications to assist in fault detection and performance enhancement.
- Design, develop, and deploy tooling and systems that continually improve the reliability, scalability, and efficiency of our platform.
- Balance feature development speed and reliability with service-level objectives.
- Operate and enhance our Infrastructure using industry best practices and tools.
- 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.
- Document Infrastructure operations processes and insights, identify repeatable actions, and ruthlessly automate repetitive tasks.
- Participate in our teams' on-call rotations, respond to incidents, and support other teams in mitigating customer-impacting events.
- 5+ 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 large-scale infrastructure in public cloud environments, such as AWS, including familiarity with Managed Services like Amazon OpenSearch Service and Amazon Managed Service for Prometheus.
- Demonstrated expertise in building observability infrastructure at scale to support robust monitoring and analysis.
- In-depth experience with Kubernetes and Envoy Proxy, managing multi-cluster environments in large-scale production settings.
- Experience with distributed storage technologies such as S3, RDS, DynamoDB, Aurora, and distributed configuration systems such as Zookeeper and etcd.
- Experience using monitoring, alerting, and logging systems at massive scale, such as Prometheus, Grafana, Kibana, Telegraph, and M3.
- 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 on 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 proudly pursues and hires a diverse workforce. We believe that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, color, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offenses, or any other basis protected by applicable law or by Company policy. We also 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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