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Added 2 months ago
C
Software Development Co-op
commonsku
Remote, Canada
- $3,500 to $4,800 CAD / month
- Full-time
- Remote
As a software development co-op at commonsku, you’ll get hands-on experience working in a modern SaaS codebase, collaborating with teammates, and contributing to features our customers…
Added 2 months ago
V
Technical Support Engineer
VGS
Canada
- Full-time
The majority of this role is hands-on technical work: debugging, troubleshooting network and integration issues, onboarding new customers, and resolving tickets.
Added 2 months ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 2 months ago
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Senior Design Verification Engineer
Cognichip
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
We are seeking a Senior Design Verification Engineer who can combine strong verification expertise with applied AI/ML collaboration to help build production-grade tools for chip…
Added 2 months ago
TA
Forward Deployed Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
Tiger Analytics is looking for experienced Forward Deployed Engineer (Generative AI) with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring…
Added 2 months ago
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Founding AI Engineer
Eklan
Toronto, ON
- $75,000 to $113,000 USD / year
- Full-time
We are looking for an exceptional Founding AI Engineer to help build the technical foundation required to deliver this vision at global scale.
Added 1 month ago
Transformation Engineer - Software Development, AI & Quality Engineering
Fitch Group
Toronto, ON
Fitch Group is seeking a hands-on Transformation Engineer with strong expertise in software development, AI-enabled engineering, and modern quality practices. This role will focus on…
Added 2 months ago
SJ
Software Engineer, Applied AI
St. Joseph Communications
Toronto, ON
- $110,000 to $130,000 CAD / year
SJC Media is building the AI layer for its Digital Operations. As the founding Software Engineer, Applied AI, you own that layer end-to-end: from agentic workflows, CRM integrations,…
Added 2 months ago
T
Ingénieur(e) principal(e) en essais / Senior Test Engineer
Telesat
Gatineau, QC
- Full-time
The Senior Test Engineer will be responsible for developing and maintaining system verification and validation plans of the Telesat LEO constellation communication system. In addition, they…
Added 2 months ago
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AI Engineer
Cambio
Kitchener, ON
- Full-time
We're looking for an AI Engineer to build AI-powered features, help teammates do their best work, and have fun doing it.
Added 2 months ago
K
AI/ML Engineer - Agentic AI Systems
Kaseya
Toronto, ON
- $160,000 to $240,000 CAD / year
- Full-time
…automate IT operations for Managed Service Providers. This hands-on role combines applied machine learning, agent orchestration, behavioral anomaly detection, and production software…
Added 2 months ago
JG
Test Automation Engineer (Playwright, API & AI Automation)
J&M Group
Toronto, ON
- Contract
We are hiring for a Test Automation Engineer (Playwright, API & AI Automation). The role focuses on end-to-end UI and API test automation using Playwright, JavaScript/TypeScript, Python,…
Added 2 months ago
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Senior Software Engineer, Data - Mapping
Lyft
Toronto, ON
- Full-time
As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of…
Added 5 months ago
PS
Senior Data Engineer
Pacific Smoke International Inc
Markham, ON
- $80,000 to $120,000 CAD / year
- Full-time
…build, design, and support it. We’re looking for a Senior Data Engineer to join our scaling…
Added 2 months ago
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Solutions Architect
Shakudo
Toronto, ON
- Full-time
Backend and frontend experience (e.g., Python, React, TypeScript) - enough to be hands-on when needed
Added 2 months ago
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Staff/Sr Staff Electro-Optic Codesign Engineer
Lightmatter
Toronto, ON
- Full-time
We are seeking a Sr. Staff Engineer, Photonic Link Co-Design to join our LSAE team. This is one of the most technically demanding roles at Lightmatter: you will own the end-to-end…
Added 3 months ago
M
Technical Architect
Mphasis
Toronto, ON
- Full-time
We are looking for an experienced MLOPs / LLMOPs Engineer with a strong background in deploying and monitoring machine learning and large language model (LLM) pipelines. The ideal candidate…
Added 2 months ago
I
Lead Applied AI and Data Scientist | IFS Copperleaf
IFS
Vancouver, BC
- Full-time
…closely with development teams, lead through influence and hands-on technical work, and demonstrate what a best-in-class AI engineering practice looks…
Added 2 months ago
TR
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…the insights product leaders rely on. We are seeking an AI Engineer to build those agents for our Tax, Audit & Accounting product portfolio. You will take pre-trained models, LLM APIs, and…
Added 2 months ago
A
FrontEnd CMA (CAD) Engineer
Arm
Toronto, ON
- Full-time
Join the Chip Methodology & Automation (CMA) team within Arm's Solutions Engineering organization. As a FrontEnd CMA Engineer, you will define, develop, and deploy scalable methodologies,…
Added 2 months ago
SQ
AI Engineer (GPU & LLM Optimisation) – Canada / UAE / Remote
SuperQ Quantum Computing
Remote, Canada
- $90,000 to $120,000 CAD / year
- Full-time
- Remote
SuperQ is looking for an AI Engineer specializing in GPU and LLM optimization to maximize the performance, scale, and efficiency of the models powering our multi-agent architecture. You…
Added 2 months ago
FV
Senior Software Engineer
Forum Ventures
ON
- Full-time
Weʼre looking for a Senior Software Engineer with 5 - 8 years of professional experience to help design, build, and scale the production systems behind askpollyʼs AI-powered insights…
Added 2 months ago
AN
Expert/Principal Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Independently implement solutions to small-sized problems in our EOS and related software, using the C, C++, and python programming languages.
Added 2 months ago
Full-Stack AI Engineer
Appnovation Technologies
Toronto, ON
As a Full-Stack AI Engineer, you'll transform business ideas into production-ready applications using cutting-edge AI design tools and modern full-stack frameworks. With a strong bias…
Added 2 months ago
PI
Senior QA Engineer – HIL & Test Automation
Palitronica Inc.
Waterloo, ON
- $90,000 to $120,000 CAD / year
- Full-time
Palitronica is looking for a Senior QA Engineer with strong hardware-in-the-loop (HIL) and test automation experience to help ensure the reliability and repeatability of our Anvil platform.

Lyft

Senior Software Engineer, Data - Mapping

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: 5+ years of professional experience in backend or data engineering with large-scale distributed systems
Posting language: English
Posted: Aug 25, 2026

Original job description

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.

As a Senior Software Engineer, Data on the Mapping team, you will collaborate with our world-class team of engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will lead the architecture and long-term technical direction of our offline experimentation tooling and route simulation services - the systems that let Lyft test routing changes safely before they reach production. You'll also build scalable data pipelines for experimentation, analytics, and machine learning models, along with the data governance and observability systems that keep them trustworthy. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability.

Our technology stack is based on the latest technologies such as AWS, Databricks, Kubernetes and Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers.

Responsibilities

Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale
Serve as the technical owner and architectural lead for our offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft's routing and mapping ambitions
Continuously evolve data models and schemas to meet business and engineering requirements
Develop AI tools that support self-service management of data pipelines (ETL) and schema evolution, and perform hands-on SQL tuning to optimize data processing performance
Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
Participate in code and architecture reviews to ensure code quality and distribute knowledge
Manage on-call rotations and proactively improve team processes
Mentor others, give brown bags, and promote engineering best practices across the team

Experiences

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
5+ years of professional experience in backend or data engineering with large-scale distributed systems
Strong experience with Spark, and with a scripting language (Python, Ruby, Bash)
Experience with distributed storage, querying, and streaming technologies (e.g. Clickhouse, Hive, Presto, Delta, Iceberg, Kafka)
Strong SQL skills (MySQL, PostgreSQL or similar), with experience conducting advanced performance tuning and querying high volume events data (e.g. geospatial, behavioural)
Strong data quality instincts, with hands-on experience using tools like dbt, Great Expectations, or Monte Carlo to diagnose and resolve issues in complex datasets
Experience with workflow orchestration (e.g., Airflow, Prefect) and infra tooling (e.g., Terraform, Docker, Kubernetes), preferably in an AWS context
Experience designing API schemas and building backend services in a microservices architecture
Proficient and effective in using AI tools (e.g. Copilot, Claude Code, Cursor) to accelerate coding and engineering workflows
Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams
Bonus: Experience with LLM orchestration or vector databases, or with experimentation/simulation platforms and A/B testing infrastructure at scale

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.

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More about this job

Responsibilities

Lead the architecture of offline experimentation tooling and route simulation services to improve travel time estimations. Build and manage scalable data pipelines, data governance systems, and AI tools for ETL and schema evolution.

Requirements

Requires a Bachelor's degree and 5+ years of experience in backend or data engineering with large-scale distributed systems. Proficiency in Spark, SQL, and various distributed storage and orchestration tools is essential.

Skills

Spark
Python
SQL
AWS
Databricks
Kubernetes
Airflow
Distributed Systems
Data Pipelines
Microservices Architecture
Terraform
Docker
Clickhouse
Kafka
dbt
AI Tools

Benefits

Extended Health Coverage
Dental Coverage
Life Insurance
Disability Benefits
Mental Health Benefits
Family Building Benefits
Child Care Benefits
Pet Benefits
Health Care Savings Account
RRSP Plan With Company Match
Flexible Paid Time Off
Paid Parental Leave
Commuter Benefits
Lyft Ride Credits

Visa sponsorship

Not detected in the job text

Keywords

AWS
Databricks
Kubernetes
Airflow
Spark
Python
Ruby
Bash
Clickhouse
Hive
Presto
Delta
Iceberg
Kafka
MySQL
PostgreSQL
dbt
Great Expectations
Monte Carlo
Terraform
Docker
Microservices
LLM Orchestration
Vector Databases
A/B Testing
Geospatial Data
ETL
Data Governance
Data Pipelines
Route Simulation

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