At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

The Networking team is responsible for all edge and service-to-service network traffic dedicated to making the best ride possible, from our mobile app to our internal microservice architecture. This means providing the most reliable network seamlessly so that our engineers can build platforms that scale. This also means providing tooling to either make the network easy to understand or abstract the network completely.

As an infrastructure engineer in the Networking team, you will build creative engineering solutions to operational problems. You will help operate one of the largest Envoy-based service meshes in the industry, which gives you and the team the opportunity to regularly talk about our work in the community and at conferences, including EnvoyCon, KubeCon, Google Next and re:Invent. Our team regularly gives back to the service mesh community by developing new components and providing patches to the upstream Envoy project.

• Technical leadership and guidance for a team of about 5-7 people
• Design, develop, deploy, monitor, operate and maintain existing or new elements of our testing platform
• Help establish roadmap and architecture based on technology and our needs
• Write well-crafted, well-tested, readable, maintainable code
• Analyze our internal systems and processes and locate areas for improvement/automation.
• Collaborate with product org stakeholders to address and prioritize custom edge cases
• Participate in code reviews to ensure code quality and distribute knowledge
• Share your knowledge by giving brown bags, tech talks, and promoting appropriate tech and engineering best practices
• Can help lead large projects from idea to positive execution
• Unblock, support and communicate with internal partners to achieve results

• 8+ years of software engineering industry experience
• Experience with object-oriented programming
• Experience in large scale distributed systems
• Experience working with Python, C++ and/or Go is a plus
• Write clear, scalable and clear design documentation
• Any team/org technical leadership experience
• Design, build and improve a set of team owned components
• Experience Kubernetes and container technologies (e.g. Docker, cri-o, etc)

• 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.  

Starting in September 2023, 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.

The expected range of pay for this position in the Seattle area is $178,000 - $197,800. 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.