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Senior Software Engineer, Foundational Infrastructure & Networking

LyftToronto, CanadaFull-timeSalary not listed · Typical pay in CanadaPosted Nov 4, 2026

This listing is for a Senior Software Engineer, Foundational Infrastructure & Networking role at Lyft, in Toronto, Canada. The listing describes it as a full-time, senior position with hybrid working.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

This listing is for a Senior Software Engineer, Foundational Infrastructure & Networking role at Lyft, in Toronto, Canada. The listing describes it as a full-time, senior position with hybrid working.

From the advert, the main requirements are 6+ years of experience.

The advert mentions AWS, GCP, Kubernetes, Terraform, Linux and networking among the skills and tools for this role.

The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.

Benefits mentioned in the advert: health insurance, paid time off and bonus.

Visa sponsorship is not mentioned. Applicants from outside Canada should check the official work permit route before applying.

Dev Global Jobs found this job on Greenhouse on Nov 4, 2026.

Employer
Lyft
Location
Toronto, Canada
Work mode
hybrid
Job type
Full-time
Level (from the title)
senior
Pay
Not stated by the employer
Experience asked
6+ years
Found
Nov 4, 2026 on Greenhouse
Employer text
757 words, about 3 min to read
Skills named in the advert
AWSGCPKubernetesTerraformLinuxnetworking
Before you apply
  • Apply only on the official page (app.careerpuck.com). Dev Global Jobs is not the employer and never asks for a fee.
  • Compare your own experience with the 6+ years the advert asks for, and show it clearly near the top of your CV.
  • Mirror the skills the advert names (AWS, GCP, Kubernetes and Terraform) in your CV where you really have them; applicant tracking systems look for these words.
  • Read the employer’s full text below (about 3 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 4, 2026
Pay benchmark
Average wage, Canada
CAD 85,588 average / year

Source: OECD Average annual wages, 2025

Cost of living · Toronto
84.2 vs New York = 100

UN living-cost index for Toronto (ICSC post adjustment 47.9), as of 1 Oct 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • Temporary Foreign Worker Program (LMIA-based): Employer needs a Labour Market Impact Assessment
  • International Mobility Program (LMIA-exempt): Work permits under treaties, intra-company transfers, CUSMA and others
  • Express Entry (permanent residence): Points-based selection for skilled workers
Job description

About the role

Full text from the employer, as published on Greenhouse, arranged into sections. Nothing added or removed.

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.

01Responsibilities

  • 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.

02Experience

  • 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.

03Benefits

  • 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. 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 and Lyft ride credits

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 $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

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