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1,714

Python Software Developer jobs in Spain

Senior Software Engineer, Forecasting & Real-Time Optimization Platform

Lyft

Toronto
Hybrid
CAD 136,000 - 170,000
8 days ago
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Embedded AI/ML Applications Engineer

Qualcomm

Markham
On-site
CAD 118,000 - 179,000
8 days ago

Software Applications Engineer for AI/ML

Qualcomm

Markham
On-site
CAD 118,000 - 179,000
8 days ago

Full Stack Software Engineer

Hyperproof

Ottawa
On-site
CAD 85,000 - 110,000
8 days ago

Senior Software Designer - C#/.NET, UX & AI (Hybrid)

EXFO

Quebec
Hybrid
CAD 85,000 - 105,000
9 days ago
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Senior Software Designer

EXFO

Quebec
Hybrid
CAD 85,000 - 105,000
9 days ago

Senior Software Engineer (IoT)

Bird

Canada
Remote
CAD 137,000 - 185,000
9 days ago

Programmeur jouabilité senior — Unity/C# multiplateforme

Gameloft

Montreal (administrative region)
On-site
CAD 70,000 - 90,000
9 days ago
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[Disney Dreamlight Valley] Programmeur(-euse) jouabilité sénior - Senior Gameplay Programmer

Gameloft

Montreal (administrative region)
On-site
CAD 70,000 - 90,000
9 days ago

Geometry Software Engineer - Real-Time 3D (Early Career)

Roblox

Vancouver
Hybrid
CAD 143,000
9 days ago

[2026 Canada] Software Engineer, Geometry - Early Career

Roblox

Vancouver
Hybrid
CAD 143,000
9 days ago

Full Stack Software Engineer

PowerToFly

Mississauga
On-site
CAD 80,000 - 100,000
9 days ago

Software Engineer II

Wenco International Mining Systems

Richmond
On-site
CAD 162,000 - 190,000
10 days ago

Senior Software Engineer - Scalable FinTech Solutions

Momentum Financial Services Group

Toronto
Hybrid
CAD 100,000 - 120,000
10 days ago

Programmeur/CNC 5 axes – Optimisation et Opérations

Place aux Jeunes

Louiseville
On-site
CAD 45,000 - 65,000
10 days ago

Programmeur.euse / opérateur.trice CNC

Place aux Jeunes

Louiseville
On-site
CAD 45,000 - 65,000
10 days ago

Dynamics 365 & Power Platform Software Engineer

Genetec

Montreal (administrative region)
On-site
CAD 70,000 - 90,000
10 days ago

Software Engineer II, Backend (PMI Integrations)

Affirm

Canada
Remote
CAD 120,000 - 170,000
10 days ago

Senior Full-Stack Software Engineer, CMS

Jobgether

Canada
Remote
CAD 176,000 - 190,000
10 days ago

Software Engineer II (IBM Mainframe Technologies)

Scotiabank

Toronto
On-site
CAD 80,000 - 100,000
10 days ago

Senior Software Engineer - Machine Guidance (Mining)

Wenco International Mining Systems

Richmond
On-site
CAD 110,000 - 150,000
10 days ago

Autonomous Vehicle Diagnostics Software Engineer

General Motors

Markham
Hybrid
CAD 90,000 - 137,000
10 days ago

Senior Software Engineer

Humanitec

Toronto
Remote
CAD 80,000 - 110,000
10 days ago

Fullstack Software Engineer - AI Engineering

Huron

Toronto
Remote
CAD 100,000 - 125,000
10 days ago

Software Engineer (.Net)

Comm100

Vancouver
On-site
CAD 75,000 - 110,000
10 days ago

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Python jobs
Senior Software Engineer, Forecasting & Real-Time Optimization Platform
Lyft
Toronto
Hybrid
CAD 136,000 - 170,000
Full time
9 days ago

Job summary

A leading transportation company in Toronto is seeking experienced software engineers to join their team. You will work on building large-scale distributed systems and enhancing real-time user experiences. Ideal candidates have over 5 years of experience in backend development, and a strong background in distributed computing and machine learning. This is a hybrid position, requiring in-office work at least three days a week, with flexible remote options available.

Benefits

Extended health and dental coverage
Mental health benefits
Flexible paid time off
Subsidized commuter benefits

Qualifications

  • 5+ years of software engineering industry experience.
  • Experience in backend software development of large-scale distributed systems.
  • Preferred: Experience in streaming platforms or distributed messaging.

Responsibilities

  • Design, develop, deploy, monitor, operate and maintain systems.
  • Collaborate with engineers and partners to drive projects.
  • Build and operate large-scale distributed systems.

Skills

Software engineering
Distributed computing
Backend development
Machine learning
Collaboration

Education

BS/MS in Computer Engineering or Computer Science

Tools

Kafka
Beam
Flink
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.

Marketplace teams are at the heart of our products and decision‑making. We’re looking for passionate, driven engineers to build systems that empower our users (both Drivers and Riders) to make the most effective use of Lyft’s products and experiences by making them more predictive, personalized, and adaptive. We’re looking for someone who is passionate about solving problems with distributed computing, ML, data alongside building reliable systems, and is excited about working in a fast‑paced, innovative, and collegial environment.

Forecasting and Real‑Time Optimization Platform (FORTOP) team in Lyft’s Rideshare Experience & Marketplace org is responsible for building and supporting the myriad real‑time demands to run the business efficiently. We work with Product & Science to improve our driver and passenger experiences through real‑time features and machine learning models, covering Dynamic Pricing, Realtime Supply Management, Dispatch, and more. You will be working on a wide array of challenges ranging from large scale distributed systems, sub millisecond request serving, real time forecasting, experimentation & ML modeling. If you're interested in being at the center of Lyft's efforts to deliver delightful experiences to our passengers and drivers, this might be the role for you.

Responsibilities
  • Design, develop, deploy, monitor, operate and maintain existing or new elements of our systems and infrastructure
  • Collaborate with engineers and partners in science & product to drive projects from inception, specification, execution, or to launch
  • Build and operate large‑scale distributed systems (Beam, Flink, Kafka, etc.)
  • Design and own the way real‑time data is consumed, stored, and shared with the entirety of Lyft
  • Write well‑crafted, well‑tested, readable, maintainable code
  • Participate in code reviews to ensure code quality and distribute knowledge, including Open‑Source projects
  • Share your knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices
Experience
  • 5+ years of software engineering industry experience
  • BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience
  • Experience in backend software development of large‑scale distributed systems
  • Understanding of distributed systems concepts and principles (consistency and availability, liveness and safety, durability, reliability, fault‑tolerance, consensus algorithms, etc)
  • Preferred: Experience in streaming platforms (Beam,Flink, or similar) and/or distributed messaging (Kafka, Kinesis, or similar)
  • Preferred: Experience in Machine Learning
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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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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