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Professional Software Engineer Jobs in Quebec (NOW HIRING)

Git Jenkins Maven/Gradle Docker Kubernetes Linux/Unix AWS/Azure/GCP Experience: 7+ years of professional software engineering experience Proven experience building, deploying, and supporting large ...

We invest in our employees and expect you to invest in your own professional growth. Our employees ... Programming experience with C# * Experience with AI * Passion for testing and software development ...

Bachelor's degree in Computer/Software Engineering, Computer Science, or equivalent * 5+ years of professional software development experience * Professional experience with Ruby on Rails is required

Full-Stack Software Engineer

Montreal, QC · On-site +1

CA$120K - CA$150K/yr

As a Full-Stack Software Engineer, you will: * Work on developing and deploying exciting new ... Professional development stipend * $500 wfh tech set-up reimbursement Think you're a good fit?

... professional games using natural language. We are the creators of a battle-tested gameplay ... What You'll Build ????️ As a Senior Software Engineer on our AI Platform, you will architect the ...

Interested in joining a professional, fun and dedicated engineering team to work on music notation software in Montreal? * We're looking for YOU! The Sibelius engineering team is seeking a skilled ...

Must HaveSkills * 1-4 years of professional development experience. * Strongproficiencyin Java ... software development. * Experience with server sideandclient-sidedevelopment (Java, JavaScript ...

Showing results 21-40

Professional Software Engineer information

See Quebec salary details

$23.5K

$102.1K

$172K

How much do professional software engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for professional software engineer in Quebec is $102,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a professional software engineer?

Professional software engineers are trained experts who design, develop, test, and maintain software applications or systems to solve problems or meet user needs. They use programming languages, tools, and engineering principles to create reliable and efficient software. In addition to coding, software engineers often collaborate with other team members, participate in code reviews, and follow industry best practices to ensure high-quality software delivery.

What are the key skills and qualifications needed to thrive as a professional software engineer?

To thrive as a Professional Software Engineer, you need strong programming skills, problem-solving abilities, and a relevant degree in computer science or a related field. Familiarity with version control systems (like Git), software development frameworks, and cloud platforms is typically required, and certifications such as AWS Certified Developer or Microsoft Certified: Azure Developer Associate can be beneficial. Excellent communication, teamwork, and adaptability are soft skills that help you collaborate effectively and navigate changing project requirements. These skills ensure you can build robust, scalable solutions while working efficiently within diverse technical teams.

What are some common challenges faced by professional software engineers when working on large-scale projects?

Professional software engineers working on large-scale projects often encounter challenges such as managing complex codebases, ensuring effective communication across multidisciplinary teams, and maintaining high code quality under tight deadlines. Coordinating with other engineers, testers, and product managers can be demanding, especially when handling dependencies or integrating new features. Staying updated with evolving technologies and adhering to best practices in version control and documentation are also crucial for successful project delivery.

What is the difference between Professional Software Engineer vs Software Developer?

AspectProfessional Software EngineerSoftware Developer
CredentialsBachelor's degree in CS or related field, certifications optionalSimilar educational background, certifications less common
Work EnvironmentOften in teams, involved in full project lifecycle, may work in corporate or enterprise settingsTypically focused on coding, testing, and implementation, in various settings including startups and freelance
Industry UsageWidely used in corporate, enterprise, and government sectorsCommon in startups, freelance, and smaller companies

The main difference lies in scope and responsibilities. Professional Software Engineers often have a broader role, including design, architecture, and project management, while Software Developers primarily focus on coding and implementation. Both roles require similar educational backgrounds, but the Professional Software Engineer may be expected to handle more complex projects and collaborate across teams.

What do professional software engineers do?

Professional software engineers design, develop, test, and maintain software applications and systems. They analyze user requirements, write code using programming languages, and collaborate with teams to ensure functionality, performance, and security. They often use tools like version control systems and follow industry best practices to deliver reliable software solutions.

What are the most commonly searched types of Software Engineer jobs in Quebec?

The most popular types of Software Engineer jobs in Quebec are:

What cities in Quebec are hiring for Professional Software Engineer jobs?

Cities in Quebec with the most Professional Software Engineer job openings:

Senior Generative AI Software Engineer

Apertera

Montreal, QC • On-site

Full-time

Re-posted 5 hours ago


Job description

About Apertera

Apertera is leading the evolution of language solutions for high-stakes content. We partner with enterprises as an extension of their teams, combining professional expertise with Adaptive AI technology that is continuously refined by client context.

For more than twenty years, Apertera has set the bar for legal, financial, and regulatory translation, serving the most rigorous buyers, including over 75% of major national Canadian law firms, all major banks, and leading securities regulators.
Apertera is Canadian-owned, ISO 17100 and SOC 2 certified.

Our core values: 

  • Innovation
  • Dedication
  • Fanatical commitment to quality and service
  • Resourcefulness
  • Collaboration
About the Role

We are looking for a Senior Generative AI Engineer to develop our next-generation intelligent translation and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will be working in an R&D Team which reports to the VP of AI Innovation with the objective to develop and implement state-of-the-art algorithms by fast prototyping. We expect our Senior Generative AI Engineer to stay current with the technological cutting edge and drive the application of LLM and GenAI to translation, as well as having solid background and hands-on experience with deep learning, machine learning, natural language processing, and big data. You'll play a pivotal role in pushing the boundaries of applying GenAI to translation scenarios and create innovative solutions.

Responsibilities
  • Research and implement state-of-the-art LLM techniques including continued pre-training, supervised fine-tuning, reinforcement learning from human or AI feedback (PPO, DPO, GRPO, etc.), and LLM deployment.
  • Work closely with our expert advisor to strategize, plan, and design technical roadmaps and features of GenAI products.
  • Develop prototypes of GenAI and LLM application to translation use cases.
  • Drive technological innovations by staying current to the cutting-edge achievements of GenAI and LLM from industry and academia.
  • Stay updated with the latest advancements and research trends in generative AI, attending conferences, workshops, and seminars, and actively contributing to the AI research community through publications and presentations
  • Work closely with DevOps Engineers, software engineers, designers, and product managers to understand project requirements, align on technical solutions, and deliver high-quality generative AI solutions that meet business objectives and user needs.
  • Communicate technical strategies effectively across teams and manage stakeholder expectations. 
Requirements
  • Master in Computer Science, Data Science, Statistics, or Engineering. PhD or equivalent experience is preferred.
  • 3+ years of industry experience developing GenAI and LLM applications.
  • Working knowledge and project-based record of all of the following: context engineering, RAG, SFT. 
  • Working knowledge and project-based record of at least one of the following:  continued pre-training, PPO/DPO/GRPO, Agentic systems (including harness engineering, MCP server, etc.).
  • Proficiency in programming languages such as Python, with experience in software development and version control systems (e.g., Git).
  • Hands-on experience with Huggingface APIs or Amazon Bedrock. Experience with both is preferred. 
  • Expert skills of PyTorch, TensorFlow, Pandas, etc.
  • Experience with cloud platforms like AWS, GCP, or Azure 
  • Excellent problem-solving skills, critical thinking, and the ability to work independently and collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts effectively and work cross-functionally with diverse teams.
  • Self-driven, self-motivated with excellent time management skills
  • Excellent organizational, communication, and interpersonal skills
  • Ability to adapt to shifting priorities without compromising deadlines and momentum.

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