Software Engineer, Networking

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.

Responsibilities:

• 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

Experience:

• 2+ years of experience building infrastructure technologies in cloud environments
• Prior experience in an infrastructure setting working with highly available production systems
• Experience working across teams and functions
• Experience operating Kubernetes and working with cloud providers such as AWS/GCP
• Experience with infrastructure as code tools such as Terraform
• Preferred Experience:
  • 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

Benefits:

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Pre-tax commuter benefits
• Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.  

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

The expected base pay range for this position in the San Francisco area is $124,000 - $170,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.