At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
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.
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.