• Companies
  • News
By technology
  • Python17.1k
  • AWS11.9k
  • Kubernetes8.5k
  • Docker8.2k
  • C++5.7k
  • PostgreSQL5.4k
  • SQL5.1k
By category
  • Backend Developer11.5k
  • DevOps Engineer3.5k
  • Machine Learning Engineer3.3k
  • Full Stack Developer3.2k
  • Data Engineer2.8k
  • Embedded Engineer2.2k
  • Frontend Developer863
By city
  • San Francisco, CA6.2k
  • New York, NY5.6k
  • Seattle, WA1.3k
  • Washington, DC1.2k
  • Toronto, ON1.2k
  • Boston, MA1k
  • Austin, TX1k
Work mode
  • On-site22k
  • Remote10.2k
  • Hybrid7.3k
Job type
  • Full-time38.2k
  • Contract601
  • Part-time529
  • Freelance215
  • internship4
  • seasonal1
Experience
  • Entry level
  • Mid level
  • Senior
  • Staff+
  • Engineering management

The job board for developers. Find your next role at companies that value great engineering.

© 2023-2026 . All rights reserved.

Logos provided by Logo.dev
Add
1,179 matches
NewestHighest base
Lyft

Senior Software Engineer, Recommendations

2 months ago
Lyft · Toronto, ON
On-siteFull-timePython · TensorFlow
Lyft

Senior Software Engineer – Mapping & Geospatial Systems

2 months ago
Lyft · Toronto, ON
On-siteFull-timePython · Java
Lyft

Engineering Manager, Rider Loyalty

2 months ago
Lyft · Toronto, ON
HybridFull-timebackend systems · APIs
Lyft

Data Science, Decisions - Airports

2 months ago
Lyft · Toronto, ON
HybridFull-timePython · SQL
Localcoin

Senior Java Developer

2 months ago
Localcoin · Toronto, ON
On-siteFull-timeJava
Later

VP, User Experience

2 months ago
Later · Boston, MA
HybridFull-timeFigma · Adobe XD
Kaseya Careers

Senior Staff Software Engineer

2 months ago
Kaseya Careers · Toronto, ON
On-siteFull-timeGo · Rust
Kaseya Careers

Senior Staff Network Software Engineer

2 months ago
Kaseya Careers · Toronto, ON
On-siteFull-timeC · C++
Kaseya Careers

Platform Backend Engineer — Go/Rust & Distributed Systems

2 months ago
Kaseya Careers · Toronto, ON
On-siteFull-timeGo · Rust
HelloFresh

Director of Engineering, Operations Planning

2 months ago
HelloFresh · Toronto, ON
On-siteFull-timePython · SQL
Guidepoint

Senior Product Manager

2 months ago
Guidepoint · Toronto, ON
On-siteFull-time
GitLab

Staff Fullstack Engineer (Ruby/Vue.js) Monetization Engineering: Purchase

2 months ago
GitLab · Toronto, ON
RemoteFull-timeRuby · Vue.js
GitLab

Staff Corporate Security Engineer

2 months ago
GitLab · Toronto, ON
RemoteFull-timeGitLab
GitLab

Staff Backend Engineer, Developer Experience

2 months ago
GitLab · Toronto, ON
RemoteFull-timeGitLab · Ruby
Motive

Senior Security Engineer, Device/Hardware

2 months ago
Motive · Toronto, ON
RemoteFull-timeAWS · Azure
Funded.club

Senior Software Engineer - Site Reliability

2 months ago
Funded.club · Toronto, ON
On-siteFull-timeLinux · Kubernetes
Faire

Staff Engineer - Experimentation Platform

2 months ago
Faire · Kitchener-Waterloo, ON
On-siteFull-timeJava · Python
Faire

Staff Product Engineer - Ads Formats

2 months ago
Faire · Toronto, ON
On-siteFull-timeTypeScript · Python
Databricks

Director, Field Engineering

2 months ago
Databricks · Toronto, ON
On-siteFull-timeDatabricks · Apache Spark
Coursera

Senior Software Test Engineer

2 months ago
Coursera · Toronto, ON
HybridFull-timeSelenium · Jest
  • Previous
  • 1
  • More pages
  • 50
51
  • 52
  • More pages
  • 59
  • Next
  • Lyft

    Senior Software Engineer, Recommendations

    Lyft · 🇨🇦 Toronto, ON · posted 2 months ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    Hybrid, 3 days/week in office (Mon/Wed/Thu), 4 weeks/year remote
    On-call
    Participate in on-call rotation
    Stack
    Python, TensorFlow, PyTorch, Apache Spark

    TL;DR

    Senior backend engineer on Lyft's Applied AI Recommendations team building serving systems that decide what offers to surface to riders. Stack: Python, Go, AWS/GCP/Azure, PostgreSQL, DynamoDB.

    About Lyft →

    The full posting

    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.

    Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empowers us to iterate quickly, while focusing on delighting our passengers and drivers.

    The Applied AI team is looking for a senior software Engineer to join the Recommendations team. You will build the backend systems that decide what we surface to riders. You will architect the pipelines and services that turn rider context and signals into the right offer at the right moment, driving a measurable impact on rider experience.

    Responsibilities:

    • Establish engineering best practices and patterns; help uplift the team's craft and drive a culture of engineering excellence
    • Drive high-impact projects and innovate new solutions to deliver the best user experience
    • Produce and drive scalable system design for large, complex features — from idea through execution and launch
    • Mentor engineers on the team, providing technical guidance and supporting their growth
    • Champion and evangelize the use of AI tools to accelerate engineering productivity across the team, sharing patterns and best practices that raise the bar for how the team builds
    • Write well-crafted, well-tested, readable, maintainable code
    • Participate in code reviews to ensure code quality and share knowledge across the team
    • Participate in the team's on-call rotation; identify, triage, debug, and resolve issues across our applications and platforms
    • Excellent communication skills and the ability to explain the various trade offs made in decisions
    • Manage project priorities, deadlines, and deliverables.

    Experience:

    • BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience.
    • 5+ years of software engineering/production infrastructure industry experience.
    • Experience with Python and Go.
    • Experience with cloud platforms (AWS, GCP, or Azure), distributed systems, and databases such as PostgreSQL or DynamoDB
    • Proficient and effective in using AI tools (e.g. Copilot, Claude Code, Cursor) to accelerate coding and engineering workflows
  • Proficiency in object-oriented programming.
  • Experience working with data structures or algorithms.
  • Ability to work with a low-ego, highly collaborative, and cross-functional team.
  • Bonus points: Experience building real-time serving systems for ML models, working with recommendation or ranking systems, feature stores, or online/offline experimentation frameworks.
  • 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 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

    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.