Job DescriptionIn collaboration with the
Manager, Optimization Solutions Implementation, the incumbent contributes to the design, development, implementation, and maintenance of optimization solutions supporting critical business operations. Working closely with operations research specialists, data scientists, and business partners, the successful candidate will translate mathematical models and analytical concepts into
scalable, reliable, and high-performing software applications that deliver tangible business value.
As part of the
Revenue Management Systems (RMS) team, you will contribute to Transat's revenue optimization strategy through
advanced analytics,
optimization models, and
Artificial Intelligence (AI) and
Machine Learning solutions.
What You Will Accomplish:- Design, develop, test, deploy, and maintain robust production-grade applications supporting scenario analysis, planning, and decision-making processes.
- Deliver solutions in an Agile environment while collaborating with business analysis and information technology teams.
- Translate optimization models and algorithms into production-ready software solutions.
- Develop and enhance APIs, data pipelines, optimization engines, and integrations with enterprise systems.
- Ensure the performance, scalability, reliability, and maintainability of optimization and simulation platforms.
- Implement automated testing, validation, deployment, and monitoring processes to ensure high-quality and stable releases.
- Promote best practices in software architecture, software development, and engineering.
- Troubleshoot production issues, identify root causes, and implement sustainable solutions while ensuring data integrity, consistency, and security.
Qualifications- Bachelor's or Master's degree in Computer Science, Software Engineering, Operations Research, Applied Mathematics, Industrial Engineering, or a related field.
- 1 to 5 years of experience in software development, optimization systems, analytical platforms, or decision-support applications.
- Strong proficiency in Python and SQL, with experience in data analysis, visualization, and analytical solution development.
- Solid understanding of modern software engineering principles and experience building scalable, maintainable, and resilient applications.
- Experience with APIs, Cloud technologies (Azure, AWS, or GCP), containerization, Git, Agile methodologies, CI/CD pipelines, and DevOps practices.
- Strong analytical, problem-solving, collaboration, curiosity, critical-thinking, and continuous-learning skills.
- Strong proficiency with software development tools and environments, including Visual Studio Code (VS Code), Git and demonstrated ease with collaborative digital tools and AI solutions (e.g., Copilot). Ability to quickly learn and adapt to new technologies.
- Oral and written fluency in French and English*.
* A good knowledge of French is required for positions in Quebec. The incumbent will be required to communicate and collaborate frequently in English, both orally and in writing, with colleagues, customers, and other stakeholders in Quebec, the rest of Canada, and internationally.
Additional InformationArtificial intelligence tools are used to analyze applications, whether to sort or preselect profiles based on criteria related to job requirements. All applications are then reviewed by our recruitment team to ensure a fair and inclusive process.