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Seasonal Backend Developer Python Jobs in Montreal, QC

YO AI Labs

Backend Engineer - Remote

Montreal, QC · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Strong proficiency in Python 3, Java, Rust, C++, or TypeScript . * Strong understanding of ...

Syntax

Developer, GenAI Solutions

Montreal, QC · On-site +1

Job Summary: Syntax is seeking a full-time, passionate, and driven Backend Developer, GenAI ... Minimum of 7 years of professional development experience , including at least 5 years in Python

Syntax

Developer, GenAI Solutions

Montreal, QC · On-site +1

Job Summary: Syntax is seeking a full-time, passionate, and driven Backend Developer, GenAI ... Minimum of 7 years of professional development experience , including at least 5 years in Python

Proof

Senior Full-Stack Developer (Canada)

Montreal, QC · Remote

CA$155K - CA$175K/yr

Backend development using Go (Golang), creating and optimizing APIs, database usage, and core ... Proven experience with Go (Golang) or other modern programming languages (e.g., Node.js, Python ...

Ironbelly Studios

AI Platform Engineer

Montreal, QC · Hybrid

Expert-Level Backend Engineering: Deep, production-level experience in Python (3.11+), building microservices with frameworks like FastAPI, and designing with async/await patterns. * Production ...

dcbel

Embedded Quality Developer

Montreal, QC · On-site

Implement Python test suites, fixtures, and reusable test libraries for device behavior, interfaces ... backend connectivity. Bonus Skills * Bilingual English and French written and spoken. Profile

dcbel Inc

Embedded Quality Developer

Montreal, QC · On-site

Implement Python test suites, fixtures, and reusable test libraries for device behavior, interfaces ... backend connectivity. Bonus Skills * Bilingual English and French written and spoken. Profile

United Airlines

Java Developer

Montreal, QC

... backend systems. * Experience designing and building large-scale distributed systems. * Solid ... Experience using Python and Unix in production environments. * Experience with cloud platforms such ...

United Airlines

Java Developer

Montreal, QC

... backend systems. * Experience designing and building large-scale distributed systems. * Solid ... Experience using Python and Unix in production environments. * Experience with cloud platforms such ...

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Seasonal Backend Developer Python information

What is a seasonal backend developer python?

Seasonal Backend Developer Python jobs are temporary positions where developers use the Python programming language to build and maintain server-side applications for a specific period, often aligned with a company’s peak business season. These roles typically involve working on APIs, databases, and backend logic to support web or mobile applications. Employers seek individuals who can quickly adapt, contribute to ongoing projects, and help handle increased workloads during busy times, such as holidays or special events. Candidates should have strong Python skills, familiarity with backend frameworks like Django or Flask, and experience working with databases and cloud platforms.

What are the key skills and qualifications needed to thrive as a seasonal backend developer python?

To excel as a Seasonal Backend Developer Python, you need strong proficiency in Python programming, backend frameworks (such as Django or Flask), and experience with databases, usually supported by a relevant degree or equivalent experience. Familiarity with version control systems like Git, cloud platforms such as AWS or Azure, and containerization tools like Docker is often required. Problem-solving, effective time management, and teamwork are vital soft skills for handling project deadlines and collaborating remotely or with cross-functional teams. These skills ensure efficient, scalable backend solutions that meet seasonal business demands and integrate seamlessly with broader systems.

What are some typical challenges faced by a seasonal backend developer python, and how can applicants prepare for them?

Seasonal Backend Developers working with Python often face tight project timelines and the need to quickly adapt to existing codebases. Since the role is temporary, ramping up effectively and collaborating with permanent team members are essential. Applicants can prepare by familiarizing themselves with common Python frameworks (such as Django or Flask), practicing reading and debugging unfamiliar code, and honing their communication skills to integrate smoothly with established workflows. Being proactive in asking questions and seeking documentation can make the transition faster and more effective.

What is the difference between Seasonal Backend Developer Python vs Backend Developer?

AspectSeasonal Backend Developer PythonBackend Developer
Required SkillsPython, Django/Flask, REST APIs, SQLPython, Django/Flask, REST APIs, SQL
Work EnvironmentTemporary, project-based, often remote or on-siteFull-time, permanent, on-site or remote
Industry UsageSeasonal projects in e-commerce, retail, or event-driven industriesContinuous development in tech, finance, healthcare

Seasonal Backend Developer Python roles focus on short-term projects requiring Python expertise, often in retail or e-commerce during peak seasons. In contrast, Backend Developers typically hold ongoing roles with broader responsibilities. Both roles require similar technical skills, but their employment duration and project scope differ.

Seasonal Backend Developer Python jobs near you

Backend Engineer - Remote

Montreal, QC • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 14 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.