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Jobs / Lyft

Senior Software Engineer, Foundational Infrastructure & Networking

Lyft·Toronto, Canadasenior

In short

  • →Arquitecto de redes core y service mesh para miles de microservicios en producción.
  • →Optimiza routing, balanceo de carga y observabilidad en AWS con Envoy y Kubernetes.
  • →Lidera debugging complejo y mentoría técnica en un sistema de alta escala y resiliencia.

Fluency in English is required for collaboration across global teams.

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In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Your first dossier is free.

The questions they'll ask you

1. ¿Cómo diseñarías un mecanismo de service discovery que soporte 100K+ servicios con baja latencia en AWS?

2. ¿Qué métricas y trazas usarías para reducir MTTD en un incidente de red de edge con Envoy?

3. Describe un caso donde ajustaste parámetros de kernel o VPC para resolver un problema de latencia en producción.

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓6+ años en infraestructura de nube y redes a gran escala.
  • ✓Experto en Linux networking, TCP/IP, DNS, gRPC, HTTP/2, AWS VPC.
  • ✓Experiencia directa con Envoy, Istio, Cilium, o Nginx en entornos de producción.
  • ✓Dominio de Kubernetes en AWS con Terraform (IaC).
  • ✓Capacidad para diagnosticar fallos distribuidos bajo alto tráfico.
  • ✓Liderazgo técnico en post-mortems, RFCs y mentoría.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Envoy ProxyIstioCiliumNginxAWSVPCNLBTransit GatewayKubernetesTerraform

Who should you write to at Lyft?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

At Lyft, our purpose is to serve and connect. Lyft’s Infrastructure organization builds the high-scale foundation that every engineer at Lyft relies on to ship safe, performant, and reliable services. As a Senior Software Engineer on the Foundational Infrastructure & Networking team , you will own the core routing, service mesh, and control planes that power hundreds of microservices processing millions of rides daily. This is an IC role with massive engineering leverage: your technical architecture, systems design, and performance optimizations will directly amplify the velocity of every software engineer across Lyft while ensuring platform resiliency at scale. Responsibilities • Architect & Scale Core Networking: Design, build, and optimize our service mesh, ingress/egress infrastructure, and edge routing capabilities using Envoy Proxy and custom control planes on AWS. • Optimize High-Throughput Control Planes: Enhance load-balancing algorithms, service discovery, and dynamic scaling mechanisms across high-concurrency data and control planes running on Kubernetes. • Drive Systems Reliability & Observability: Operationalize deep telemetry, metrics, and distributed tracing across our networking stack to drastically reduce mean-time-to-detect (MTTD) and resolution (MTTR). • Hands-on Production Debugging: Lead complex technical investigations into cross-stack incidents spanning kernel parameters, cloud VPC network layers, DNS, and distributed microservice protocols. • Technical Leadership & Mentorship: Elevate engineering rigor through RFC reviews, technical vision, incident response post-mortems, and mentoring engineers across the broader Infrastructure org. Experience • 6+ Years of Production Systems Experience: Proven track record building and operating massive-scale cloud infrastructure and networking platforms. • Expertise in Cloud Networking & Protocols: Deep understanding of Linux networking, TCP/IP, DNS, gRPC, HTTP/2, load balancing, and AWS networking architecture (VPCs, NLBs, subnets, transit gateways). • Service Mesh & Proxy Expertise: Hands-on experience building or operating large-scale proxy and mesh technologies (e.g., Envoy, Istio, Cilium, Nginx). • Cloud & Container Infrastructure: Strong experience managing production Kubernetes clusters running on public cloud providers (AWS/GCP) using Infrastructure-as-Code tools (Terraform). • Distributed Systems Troubleshooting: Demonstrated skill in isolating and debugging complex, multi-layered system failures under high throughput conditions. 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 with company match 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. T

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