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Python Developer Contract Jobs in Montreal, QC (NOW HIRING)

Our stack Python, SQL, Bash Google Cloud Platform (GCP) BigQuery and dbt Airflow (Cloud Composer ... Azure DevOps Grafana and GCP Logging You don't need experience with every tool listed above ...

Senior Backend Engineer

Montreal, QC · Remote

CA$145K - CA$155K/yr

Design and maintain APIs, database schemas, integrations, and data contracts. * Improve system ... Strong experience with Python, Go, or similar backend languages. * Experience designing RESTful ...

Senior Backend Engineer

Montreal, QC · Remote

CA$145K - CA$155K/yr

Design and maintain APIs, database schemas, integrations, and data contracts. * Improve system ... Strong experience with Python, Go, or similar backend languages. * Experience designing RESTful ...

... contracts, and leaving patterns others can reuse. What You'll Do and How You'll Make an Impact ... SQL, Python, and dbt-shipping reliable ELT/transformations, owning quality and performance in ...

... Engineering, backend, product and QA on contracts, deployment and rollout. Move fast with AI ... Our stack Python and SQL Google Cloud Platform BigQuery and modern data tooling PyTorch ...

... proficiency Contract: Permanent, full-time Ideal background: Operations/DevOps engineer ... Proficient in at least one of Python, Go, or Bash for writing automation scripts Experience & Soft ...

... proficiency Contract: Permanent, full-time Ideal background: Operations/DevOps engineer ... Proficient in at least one of Python, Go, or Bash for writing automation scripts Experience & Soft ...

Showing results 21-40

Python Developer Contract information

See Montreal, QC salary details

$16

$58

$84

How much do python developer contract jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python developer contract in Montreal, QC is $58.38, according to ZipRecruiter salary data. Most workers in this role earn between $48.90 and $68.08 per hour, depending on experience, location, and employer.

What is a python developer contract?

A Python Developer Contract is a temporary work agreement where a developer is hired specifically to work on projects or tasks that require expertise in the Python programming language. Contract roles typically have a set duration and may be project-based, allowing businesses to scale their development teams flexibly. Contractors are usually responsible for writing code, debugging, and deploying Python applications, and may work independently or as part of a larger team. This arrangement benefits both employers seeking specialized skills for a limited time and developers looking for varied project experiences.

What are some common challenges faced by python developers working on contract, and how can they be addressed?

Python developers working on contract often encounter challenges such as integrating with existing codebases, rapidly understanding project requirements, and adapting to varying team workflows. To address these, contractors should prioritize clear communication with project stakeholders, actively seek documentation, and utilize version control systems like Git. Being proactive in asking questions and participating in team meetings can help contractors quickly align with project goals and deliverables, ensuring smooth collaboration and successful project outcomes.

What are the key skills and qualifications needed to thrive as a python developer contract, and why are they important?

To thrive as a Python Developer on contract, you need strong skills in Python programming, software development best practices, and often a relevant degree or proven project experience. Familiarity with version control systems like Git, frameworks such as Django or Flask, and knowledge of cloud platforms or CI/CD tools are typically required. Effective communication, time management, and adaptability are crucial for collaborating remotely and meeting project deadlines. These skills ensure high-quality, efficient code delivery and seamless integration with project teams in dynamic contract environments.

What is the difference between Python Developer Contract vs Python Developer Full-Time?

AspectPython Developer ContractPython Developer Full-Time
CredentialsTypically requires proficiency in Python, relevant certifications optionalSame as contract, often with additional experience or certifications preferred
Work EnvironmentProject-based, flexible hours, remote or onsitePermanent employment, regular hours, often onsite or hybrid
Employer & Industry UsageUsed across startups, agencies, and tech firms for specific projectsCommon in established companies, tech firms, and enterprises
Search & Comparison IntentOften searched for project-based roles, freelance opportunitiesTypically searched for stable, long-term employment

In summary, Python Developer Contract roles focus on short-term, project-specific work with flexible arrangements, while Python Developer Full-Time positions offer stability, benefits, and long-term employment within organizations.

What are the most commonly searched types of Python Developer jobs in Montreal, QC?

The most popular types of Python Developer jobs in Montreal, QC are:

Infographic showing various Python Developer Contract job openings in Montreal, QC as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 6% Part Time, 7% Contract, and 1% Nights. Highlights an 75% Physical, 7% Hybrid, and 18% Remote job distribution, with an average salary of $121,433 per year, or $58.4 per hour.

AI Hardware Validation Specialist (NVIDIA GPUs)

Montreal, QC • On-site

Full-time

Re-posted 27 days ago


Job description

About the Opportunity
Hello, I'm Charles Quinones, Recruitment Consultant at FED IT, specializing in permanent and contract recruitment within the Information Technology sector.
I'm currently recruiting for a well-established Canadian technology organization specializing in artificial intelligence infrastructure, high-performance computing (HPC), and advanced enterprise hardware solutions.
The company is looking for an AI Hardware Validation Specialist to join its engineering team and play a key role in validating next-generation AI computing platforms powered by NVIDIA technologies.

Mission

As part of the Engineering team, you will be responsible for validating, optimizing, troubleshooting, and supporting advanced AI-accelerated server platforms used in enterprise and high-performance computing environments.
Key responsibilities include:
Validate and test enterprise-grade AI hardware platforms featuring NVIDIA GPUs (H200, B200 and future generations);
Execute benchmarking, stress testing, and performance analysis to assess system stability and thermal efficiency;
Develop and execute comprehensive hardware validation plans;
Perform root cause analysis on GPU, memory, firmware, and system-level issues;
Optimize platform performance involving NVIDIA, AMD, and Intel technologies;
Support deployment and integration activities within laboratory and data center environments;
Validate air-cooled, direct liquid-cooled, and immersion-ready server solutions;
Install, maintain, and troubleshoot Linux-based systems;
Create automation scripts using Python and Bash for validation workflows;
Collaborate with engineering teams, technology vendors, and selected customers;
Produce detailed technical documentation and validation reports;
Stay current on emerging AI infrastructure and hardware technologies.

Your profile

Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related discipline;
5+ years of experience in hardware validation, systems integration, server engineering, or related fields;
Proven hands-on expertise with NVIDIA GPU technologies;
Strong familiarity with NVIDIA tools such as CUDA, NVML, and Nsight;
Advanced Linux administration and troubleshooting skills;
Strong understanding of server architecture, including CPUs, GPUs, memory, storage, and networking;
Experience scripting with Python and/or Bash;
Knowledge of AI infrastructure and HPC environments;
Exposure to immersion cooling or direct liquid cooling technologies is considered a strong asset;
Experience working for server manufacturers, system integrators, or OEM organizations is highly desirable.
Soft Skills
Strong analytical and problem-solving mindset;
Excellent troubleshooting and root-cause investigation skills;
Organized and detail-oriented documentation practices;
Ability to thrive in a fast-moving engineering environment;
Collaborative team player with a knowledge-sharing approach;
Self-starter who enjoys learning and tackling complex technical challenges.