Staff Infrastructure Network Engineer – Kubernetes, Cloud & Service Mesh

Applications for this position will be accepted until September 24, 2025. Lyft reserves the right to close the application process early or extend the deadline at its discretion.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

Lyft’s Infrastructure teams are responsible for building the foundational systems that engineers rely on in order to build stable, scalable, and efficient services. We build standardized infrastructure that helps software developers move fast, while still providing them with the flexibility they need to innovate within their teams. We are looking for experienced leaders to guide these teams as they create an exceptional development experience for all of Lyft. These are high leverage roles, as your work will have a multiplicative effect across Engineering, and contribute directly to Lyft’s overall stability.

We’re looking for a Staff Infrastructure Network Engineer to join our Infrastructure team and play a pivotal role in designing, scaling, and evolving the systems that power Lyft’s entire engineering platform.

As a staff-level engineer, you’ll be a technical leader. You’ll set direction, solve deeply complex infrastructure challenges, and deliver solutions that are reliable, scalable, and secure. This role is ideal for someone who thrives on impact, collaboration, and working at scale.

You’ll partner with teams across Lyft to ensure our foundational network infrastructure supports high performance, reliability, and developer velocity.

Responsibilities:

• Design, implement, and maintain Lyft’s service mesh and edge routing using Envoy Proxy and Kubernetes on AWS, ensuring secure and reliable service-to-service communication
• Scale and operate Lyft’s Kubernetes networking stack, including Ingress controllers, CNI plugins, and service discovery, to support high-availability microservices
• Develop and optimize load balancing algorithms and traffic policies across control and data planes to improve latency, resiliency, and cost efficiency
• Build and maintain observability infrastructure (e.g., Prometheus, OpenTelemetry, Grafana, Datadog) to enable real-time visibility and incident response
• Lead incident investigation and resolution for production network issues, debugging across layers including Kubernetes, VPC networking, service mesh, and L4/L7 traffic flow

Experience:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
• 8+ years of hands-on experience operating Kubernetes in production and working in cloud environments such as AWS or GCP
• Proficient in Infrastructure as Code (IaC) using tools like Terraform, and experienced in automating deployments in large-scale environments
• Strong background in Linux systems, networking, DNS, load balancing, and protocols such as HTTP, HTTPS, and gRPC
• Proven experience designing or operating distributed network management systems, including service mesh or service proxies (e.g., Envoy, Istio, NGINX, Cilium)
• Deep understanding of AWS networking concepts, including VPCs, subnets, NAT gateways, NLBs, and security groups
• Demonstrated ability to debug complex, multi-layer infrastructure issues and lead incident response across highly available, large-scale systems

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. 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 if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. 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 Toronto area is CAD $172,000 - CAD $215,000. 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.