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Entry Level Python Developer Jobs in Quebec (NOW HIRING)

We are looking for a skilled and driven Python Developer to join our team. In this role, you will ... entry level * A strong training system with our internal Academy and more than 250 modules ...

New

This is an entry-level software development position, where you'll gain experience in Git, Agile ... Basic coding and debugging skills, such as Python, VBA, JavaScript, etc. * Strong organizational ...

As a Junior Software Engineer, you will work alongside experienced software developers, data ... or entry-level professional experience. * Foundational proficiency in Python for backend ...

This is an entry-level opportunity ideal for someone passionate about music, live events, artists ... Basic familiarity with automation or scripting tools (e.g., Python, APIs, AI tools) is considered ...

Entry Level Python Developer information

See Quebec salary details

$24.5K

$68.4K

$90.5K

How much do entry level python developer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for entry level python developer in Quebec is $68,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $80,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Python Developer, and why are they important?

To thrive as an Entry Level Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving skills, and a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, basic database management, and frameworks such as Django or Flask is typically expected. Strong communication, eagerness to learn, and teamwork abilities help you stand out in collaborative development environments. These skills and qualities are crucial for efficient code development, adaptability to new technologies, and successful project delivery.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for entry-level Python developers in 2026 due to its widespread use in data analysis, web development, automation, and machine learning. Employers value proficiency in Python, along with knowledge of frameworks like Django or Flask and understanding of libraries such as Pandas and NumPy, making it a strong choice for career growth.

What does an Entry Level Python Developer do?

An Entry Level Python Developer is responsible for writing, testing, and debugging basic Python code under the guidance of more experienced developers. They often assist with tasks such as developing simple applications, automating repetitive processes, and maintaining existing codebases. These professionals typically work on small projects or support larger teams, helping to implement features, fix bugs, and ensure code quality. Their role is also a stepping stone to more advanced programming responsibilities as they gain experience and knowledge.

What are some common challenges faced by entry level Python developers during their first year on the job?

Entry level Python developers often encounter challenges such as adapting to real-world codebases, understanding version control systems like Git, and collaborating effectively within a development team. Additionally, they may need to quickly learn industry-standard frameworks and tools that go beyond basic Python knowledge, such as Django, Flask, or RESTful APIs. Regular communication with senior developers and participating in code reviews are crucial for skill development and overcoming initial hurdles.

What Does an Entry-Level Python Developer Do?

The job of an entry-level Python developer is to assist senior developers or project managers by writing code in the Python programming or scripting language. Their responsibilities are to help develop application software and run QA tests and debugging tools. Many developers work within a particular type of workflow method, such as Agile Scrum, and an entry-level python developer should have some knowledge of how these workflows operate. The qualifications you need to become an entry-level Python developer are a bachelor’s degree in computer science or a relevant field as well as skills using the scripting language or working with code.

How do I get a Python job with no experience?

Entry-level Python developer roles often require demonstrating basic programming skills through personal projects, online courses, or certifications like PCAP. Building a portfolio, contributing to open-source projects, and gaining familiarity with tools like Git and common libraries can improve your chances despite limited professional experience.

What pays more, C++ or Python?

For entry-level Python developers, salaries are generally comparable to those of C++ developers, but C++ roles often offer higher pay due to its use in performance-critical applications like systems programming and game development. Salary differences depend on industry, location, and specific skills, with C++ sometimes commanding a premium for specialized expertise. Both languages are valuable skills for developers, but C++ may lead to higher starting salaries in certain technical fields.

Will AI replace Python coders?

As an entry-level Python developer, AI is unlikely to fully replace Python programmers soon, but it can automate repetitive coding tasks and assist in debugging. Developers who learn to work alongside AI tools and focus on problem-solving, creativity, and complex system design will remain valuable. Staying updated with new technologies and improving coding skills will help maintain employability in an evolving field.
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Posted yesterday


Job description

We are looking for a skilled and driven Python Developer to join our team. In this role, you will design and build production-grade AI/ML services, data pipelines, and generative AI solutions that address real business challenges. You will work closely with cross-functional teams to deliver high-quality, scalable software in a fast-paced, Agile environment.


Location

Montreal, Canada (hybrid)


Key Responsibilities

  • Design, develop, and maintain scalable Python-based applications, data processing pipelines, and AI/ML services for production environments.
  • Build and deploy generative AI solutions leveraging Large Language Models (LLMs) and multimodal AI technologies to address business challenges.
  • Develop and optimize anomaly detection systems using techniques such as Isolation Forest, clustering algorithms, time-series analysis, and pattern mining.
  • Create and maintain RESTful APIs and AI service endpoints using FastAPI, supporting asynchronous and high-performance processing workflows.
  • Implement machine learning models using Python libraries such as pandas and scikit-learn, ensuring accuracy, scalability, and maintainability.
  • Collaborate with cross-functional teams to gather requirements, design technical solutions, and deliver AI-driven products and enhancements.
  • Develop and maintain database integrations, write complex SQL queries, and create stored procedures to support data-driven applications.
  • Apply object-oriented programming (OOP) principles and software engineering best practices to build robust and reusable code.
  • Write, execute, and maintain automated unit tests using pytest to ensure code quality and reliability.
  • Monitor, troubleshoot, and optimize AI/ML models and services, including performance analysis, debugging, logging, and issue resolution.
  • Manage source code using Git and participate in code reviews to maintain development standards and foster knowledge sharing.
  • Support deployment, containerization, and operationalization of AI/ML solutions in enterprise environments.
  • Contribute to Agile development teams through sprint planning, estimation, and continuous improvement initiatives.
  • Stay current with emerging AI, machine learning, and software development technologies to drive innovation and best practices.


Required Qualifications

  • 5–7 years of hands-on Python development experience.
  • 2–3 years of experience delivering AI/ML projects in production environments.
  • Strong proficiency in Python with demonstrated experience building production-grade data processing pipelines and AI/ML services.
  • Expertise in pandas and solid familiarity with scikit-learn for data manipulation and machine learning model implementation.
  • Proven experience with anomaly detection algorithms and techniques, including Isolation Forest, clustering, time-series analysis, and pattern mining.
  • Demonstrated ability to design and deploy generative AI solutions using LLMs and multimodal models to solve business problems.
  • Solid understanding of object-oriented programming (OOP) principles and software design patterns.
  • Expertise in the FastAPI framework for building AI service endpoints and asynchronous, high-performance processing systems.
  • Good knowledge of database concepts, SQL query writing, and stored procedure development.
  • Working knowledge of Unix/Linux environments.
  • Experience with Git or similar version control systems.
  • Experience writing and maintaining unit tests using pytest or equivalent frameworks.
  • Self-starter with the ability to thrive in a fast-paced environment and manage multiple concurrent projects.
  • English language required


Nice to Have

  • Experience working within Agile squads and participating in Scrum ceremonies.
  • Domain knowledge in financial data and related business contexts.
  • Understanding of model performance monitoring, debugging, and logging systems within AI applications.
  • Experience with containerization (e.g., Docker) and deployment of ML services in enterprise environments.


Why choose us

  • An international community bringing together more than 110 different nationalities
  • An environment where trust is central: 70% of our leaders started their careers at the entry level
  • A strong training system with our internal Academy and more than 250 modules available
  • A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)


Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.