Skip to content
Talent
Find jobsFor agentsDevelopers
peopleseek.aiConnect an agent
Find jobsFor agentsDevelopersConnect an agentpeopleseek.ai
  1. Find jobs
  2. Jobs
  3. Senior Software Engineer, Foundational Infrastructure & Networking
L

Lyft

Senior Software Engineer, Foundational Infrastructure & Networking

Hybrid · Toronto, Canada

This role is hybrid in Toronto, Canada. Remote eligibility is not stated by the employer.

Apply on the employer's siteOriginal listingJSON

PeopleSeek Talent does not submit applications. The button opens the employer's own page; this listing was verified 1 hour ago.

PayNot listed
Work arrangementHybrid
Who can applyPeople who can work in Toronto, Canada
LevelSenior
TypeNot stated
OccupationNot classified yet
Languageen
Posted5 October 2026
Last verified1 hour ago
StatusActive

About the role

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. 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.

Listed via Lyft · first seen 22 October 2026 · last verified 28 October 2026

Related

Similar jobs

C

Senior Software Engineer, GPU Infrastructure (HPC)

Cohere · Canada

CAD 285,000 – 340,000 per year
HybridSeniorFull time

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.…

Listed via Cohere · posted 1 month ago · verified 3 minutes ago

C

Staff/Senior Staff Software Engineer, Agent Infrastructure

Cohere · Remote

USD 240,000 – 360,000 per year
RemoteOpen to Canada and United StatesLeadFull time

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.…

Listed via Cohere · posted 6 days ago · verified 3 minutes ago

R

Senior Software Engineer, International

Robinhood · Toronto, Canada

Pay not listed
Senior

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The…

Listed via Robinhood · posted 1 week ago · verified 1 hour ago

Software Engineer, Metronome Infrastructure

Stripe · Remote

Pay not listed
RemoteWho can apply not stated

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept…

Listed via Stripe · posted 3 weeks ago · verified 2 hours ago

Senior Software Engineer, Backend — Toast International

Toast · Canada

Pay not listed
HybridSenior

Senior Software Engineer, Backend — Toast International Location: Toronto, ON / Canada Hybrid (Ontario) Who We Are Toast is driven by building the restaurant platform that helps restaurants adapt,…

Listed via Toast · posted 4 weeks ago · verified 1 hour ago

Senior Software Engineer, Platform Network (Auth0)

Okta · Toronto, Canada

Pay not listed
Senior

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely…

Listed via Okta · posted 3 months ago · verified 1 hour ago

Occupations: ESCO © European Union, CC BY 4.0 · Geography: GeoNames, CC BY 4.0 · Industries: ISIC Rev.4, UNSD

The global job search infrastructure for humans and AI agents.

Find jobsSearch jobsRemoteOpen worldwideOccupationsCountries
DevelopersOverviewQuickstartMCP endpointREST APISkillsOpenAPI spec
PeopleSeekThe recruiting platformFor AI agents
LegalPrivacy PolicyTerms of Service

PeopleSeek

© 2026 PeopleSeekjobs.peopleseek.ai