At Lyft, we’re creating a diverse team of smart, passionate people who feel comfortable being themselves, and are motivated by our shared goal — improving people’s lives with the world’s best transportation. We are a group of passionate people who are customer-obsessed, and we strive for excellence every day. We strongly believe in teamwork and collaboration, and we empower teams to own and solve difficult problems through innovative solutions.

Production Infrastructure powers Lyft’s infrastructure platform layer. Lyft’s service mesh consists of hundreds of applications, making millions of service calls every day. The Networking Team enables a performant, secure, reliable, and observable networking platform. Our developers trust the infrastructure layer is robust, and can focus on safely building their applications on top of our platform.

We are seeking experienced software engineers to develop and operate best-in-class service mesh solutions built on Kubernetes and AWS. Our team is responsible for building a performant, secure, and cost effective networking platform to handle Lyft’s evergrowing scale. You will join our dynamic team to manage our edge and service proxy solution to provide the best experience for our customers.

• Develop and maintain our service mesh and edge routing capabilities
• Scale our Kubernetes platform running on AWS using Envoy Proxy
• Optimize load balancing algorithms and scaling decisions on our control and data planes
• Operationalize observability metrics that improve visibility, detection and resolution
• Debug production level incidents various layers of our stack across services and platforms
• Contribute to our long term roadmap, collaborating with cross functional teams and stakeholders

• Extensive experience building infrastructure technologies in cloud environments
• Prior experience in an infrastructure setting working with highly available production systems
• Familiarity with Kubernetes and cloud providers such as AWS/GCP
• Proven track record of designing, implementing and shipping systems in large-scale environments
• Experience working across teams and functions, contributing to team roadmap, and mentoring other engineers
• Experience with Linux operating systems, DNS, load balancing, HTTP/gRPC protocols
• Experience in building distributed or cloud based networking management systems
• Experience with AWS networking concepts such as VPC, NLB, subnets
• Experience operating service proxies such as Envoy or Nginx, or service mesh technologies such as Istio, Cilium

• 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 proudly pursues and hires a diverse workforce. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy.  Lyft also strives for a healthy and safe workplace and strictly prohibits 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.