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Added 2 months ago
Staff/Sr Staff Electro-Optic Link Codesign Engineer
Lightmatter
Toronto, ON
We are seeking a Sr. Staff Engineer, Photonic Link Co-Design to join our Laser Systems Architecture & Engineering team. This is one of the most technically demanding roles at Lightmatter:…
Added 2 months ago
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Ingénieur(e) Full Stack Senior, HTS Assist// Senior Full Stack Engineer (Realtime & Voice) Customer Experience Platform
Hopper
Remote, Canada
- Full-time
- Remote
…technologique : interfaces React/TypeScript, services Scala et Python, et infrastructure infonuagique. L'équipe est restreinte et expérimentée, la portée des responsabilités est large, et…
Added 2 months ago
H
Senior Full Stack Engineer (Realtime & Voice) Customer Experience Platform
Hopper
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
…largest travel brands. We're looking for a senior full stack engineer to anchor this product, owning the realtime and voice layer end to end while building across React/TypeScript front…
Added 2 months ago
SH
Data Engineer
Spectrum Health Care
Toronto, ON
- Full-time
Are you a Data Engineer with experience building cloud-based data solutions and transforming healthcare data into actionable insights? At Spectrum Health Care (Spectrum), we're building a…
Added 2 months ago
Senior Release Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Release Engineer. Could It Be You?
Added 2 months ago
Senior Software Engineer, Data - Mapping
Lyft
Toronto, ON
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 2 months ago
TM
Software Engineer
The MRG Group
Toronto, ON
- $85,000 to $130,000 CAD / year
- Full-time
Engineer for quality. Write and maintain automated test suites (unit, API, E2E) and do exploratory testing to catch the edge cases that AI-generated implementations tend to hide.
Added 2 months ago
X
Senior Cryogenic Engineer
Xanadu
Toronto, ON
- Full-time
Xanadu is looking for a Cryogenic Engineer to lead designing, developing, and building Xanadu’s next generation cryostats as well as contribute to the build-out of our facility-level…
Added 2 months ago
X
Senior Software Developer - Automation Systems
Xanadu
Toronto, ON
- Full-time
As a Senior Software Developer on our AI team, you will be a hands-on individual contributor who sets the technical bar for the internal AI research platform that accelerates Xanadu's R&D.…
Added 2 months ago
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Data Center Provisioning Engineer
Cerebras
Toronto, ON
- Full-time
The Data Center Provisioning Engineer will be responsible for provisioning, commissioning, and validating network infrastructure, servers, and related systems across large-scale data center…
Added 2 months ago
A
Business Intel Engineer, WW Promotions and Events Data and Insights
Amazon
Vancouver, BC
- Full-time
This role requires a hands-on engineer, with high learn and be curious, that is able to invest, simplify, and deliver for their customers. We are looking for a person with broad analytical…
Added 2 months ago
KC
AI/ML Engineer - Agentic AI Systems
Kaseya Careers
Toronto, ON
- $160,000 to $240,000 CAD / year
…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
MS
R&D Electrical Engineer (On-Site)
Myant Shared Service Corp.
Mississauga, ON
- Full-time
Myant Health is seeking an R&D Electrical Engineer to help design and develop the next generation of connected, textile-enabled medical and health technologies. You will own PCB and analog…
Added 2 months ago
RB
Lead AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Expert proficiency in Python with deep experience in ML libraries (TensorFlow, PyTorch, scikit-learn)
Added 2 months ago
PC
Senior Associate SIEM Implementation
Pwc Canada
Toronto, ON · Ottawa, Ontario · Vancouver, British Columbia · Montreal, Quebec · Calgary, Alberta
- Full-time
Hands-on experience with Microsoft Sentinel, Google SecOps, Palo Alto XSIAM, Devo, and Splunk.
Added 2 months ago
TI
Building Automation Technician
Trane Italia
Montreal, QC
- Full-time
…driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable…
Added 2 months ago
R
Lead AI/ML Engineer
RBC
Toronto, ON
- Full-time
Expert proficiency in Python with deep experience in ML libraries (TensorFlow, PyTorch, scikit-learn)
Added 2 months ago
Z
Associate LLM Engineer (Forward Deployment)
ZS
Toronto, ON
- Full-time
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience…
Added 2 months ago
A
Staff AI Engineer
Acquia
Canada
- Full-time
The Role: Acquia is seeking a Staff AI Engineer to join our AI Core Engineering team. This is first and foremost a hands-on engineering role - you will spend the majority of your time…
Added 2 months ago
B
Principal Architect, AI Platform
BMO
Toronto, ON · BMOPLACE
- Full-time
3+ years focused on AI/ML and GenAI architecture, including hands-on exposure to production GenAI systems (RAG, agentic workflows, model serving, guardrails).
Added 4 months ago
S
Solutions Architect
Shakudo
Toronto, ON
- Full-time
Backend and frontend experience (e.g., Python, React, TypeScript) - enough to be hands-on when needed
Added 4 months ago
S
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
- Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Added 2 months ago
Lead, Robotics Software Engineer
Locus Robotics
North Vancouver, BC
As a Lead, Robotics Software Engineer, you'll have the opportunity to lead the development and deployment of NeuraGrasp™, our advanced robotic grasping technology that is shaping the future…
Added 2 months ago
TT
Building Automation Technician
trane technologies
Montreal, QC
- Full-time
…driving analytics for greater efficiency, your ideas will help engineer solutions for stronger communities and a sustainable…
Added 2 months ago
MT
Technical Staff Engineer–Applications
Microchip Technology Inc.
Toronto, ON · Montreal, QC · Burnaby, BC · Canada - Burnaby
- Full-time
Microchip Technology Inc. is seeking a Technical Staff Engineer – Applications to join our rapidly expanding DCS organization in Burnaby, Canada. Our products are widely deployed by top AI…

Lyft

Senior Software Engineer, Data - Mapping

Toronto, ON, Canada

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Job details

Experience: 5+ years of professional experience in backend or data engineering with large-scale distributed systems
Posting language: English
Posted: Sep 4, 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

You will lead the architecture and technical direction of offline experimentation and route simulation services while managing core data pipelines. Additionally, you will develop AI-driven tools for data management and mentor team members to promote engineering best practices.

Requirements

The role requires a bachelor's degree in a technical field and at least 5 years of professional experience in backend or data engineering. Candidates must have strong expertise in distributed systems, Spark, SQL, and cloud-based infrastructure.

Skills

Data engineering
Distributed systems
Spark
Python
SQL
AWS
Kubernetes
Airflow
Data pipelines
ETL
Microservices
Geospatial data
Performance tuning
API design
Machine learning
Data governance

Benefits

Extended health and 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
Subsidized commuter benefits
Lyft ride credits

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Distributed Systems
Spark
Python
SQL
AWS
Kubernetes
Airflow
Databricks
Clickhouse
Hive
Presto
Delta
Iceberg
Kafka
dbt
Great Expectations
Monte Carlo
Terraform
Docker
Microservices
API
Geospatial
Machine Learning
ETL
Simulation
Experimentation
LLM
Vector Databases
A/B Testing

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