Software Developer - Full Stack

Quebec City, QC (Hybrid) Full-time

Job Summary

The Thales group is a global organization present on all continents serving five major markets, all of vital importance to our societies: aerospace, space, terrestrial transport, defense and security and digital security.

From the bottom of the oceans to the depths of space and cyberspace, the Thales group offers a unique range of technologies and services that make tomorrow possible, today. Whether it's helping cities and critical infrastructure become safe and smart, securing global financial markets, protecting data and privacy and keeping security forces connected on critical missions, Thales ensures that everyone can continue to share information and enjoy the benefits of a connected world and enjoy a better quality of life, while remaining safe and one step ahead of all forms of digital threat.

OUR TEAM

Our team carries out research and development (R&D) work to meet the needs of the Department of National Defense (DND) and the Canadian Armed Forces (CAF). Projects focus on innovative digital solutions combining software development, system integration, modern infrastructure and generative artificial intelligence.

As a full stack developer, the person will contribute to the design, development, integration and deployment of software solutions. The role focuses on backend development, system integration and the implementation of solutions related to generative artificial intelligence.

The successful candidate must be autonomous, curious and comfortable in an R&D context where needs evolve rapidly. This person will work with architects, developers and artificial intelligence specialists to transform technical concepts into concrete, demonstrable and scalable solutions.

Essential functions

• Participate in the integration of generative AI solutions, RAG pipelines, vector embeddings and semantic search mechanisms.
• Develop or integrate MCP tools and MCP servers.
• Contribute to the integration of language models, agents or AI components into application solutions.
• Develop connectors allowing AI systems to interact with APIs, databases, internal services or external systems.
• Participate in the prototyping, experimentation and evaluation of solutions based on generative AI and agentic systems.
• Develop backend services, APIs, microservices and integration components mainly in Python.
• Participate in the development of lightweight interfaces, web prototypes, demonstrators or internal tools.
• Integrate frontend, backend components, AI services, databases, APIs and external systems.
• Create, maintain and optimize Docker images.
• Develop, adapt and maintain Helm charts for Kubernetes environments.
• Participate in the automation of deployments, configurations and execution environments.
• Diagnose and resolve problems related to containers, dependencies, configurations and Kubernetes environments.
• Collaborate with architects, developers, AI specialists and other technical stakeholders.
• Apply good development, security, documentation, testing and code review practices.
• Participate in the team's Agile activities.
• Contribute to the continuous improvement of development, DevOps, CI/CD and automation practices.

Minimum requirements

• Master's or Bachelor's degree in computer science, engineering, information technology or any other related and relevant field.
• Minimum of 2 years of relevant experience in software development, fullstack development, backend, software infrastructure or DevOps.
• Experience developing with Python.
• Experience with containerization, particularly Docker.
• Experience with Kubernetes or cloud-native environments.
• Experience with creating, modifying or deploying Helm charts.
• Ability to develop and integrate backend services, APIs, microservices or integration components.
• Ability to work on web interfaces, application prototypes, internal tools or technical demonstrators.
• Good understanding of Linux environments, scripts, application configuration and technical diagnostics.
• Experience or strong interest in artificial intelligence, generative AI or machine learning.
• Ability to work in an R&D context where needs can evolve rapidly.
• Ability to clearly document developed components and associated technical procedures.
• Proficiency in French and ability to work in English in a technical context.

This position requires a good knowledge of English for writing technical documents, to interact, support and/or provide services to international clients, employees and/or partners as well as foreign governmental authorities who do not speak French.

Desirable qualifications

• Experience with the MCP protocol, including the development of MCP tools or MCP servers.
• Experience with frameworks related to generative AI or agentic systems, e.g. LangChain, LangGraph, LlamaIndex or equivalents.
• Experience with RAG pipelines, vector embeddings, vector databases or semantic search.
• Experience with modern frontend frameworks such as React, Angular or equivalents.
• Experience with CI/CD tools such as GitLab CI.
• Knowledge of good practices for application security, secret management and hardening of containerized environments.
• Experience in Agile methodology, particularly Scrum or Kanban.
• Knowledge of the field of defense, military intelligence or the context of the Canadian Armed Forces.

Physical requirements

This position may require the employee to set up equipment and conduct field experiments in an outdoor environment.

Thales provides an extensive benefits program for all full-time employees working 24 or more hours per week and their eligible dependents, including:

• Company paid Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, travel insurance, Employee Assistance Plan and Well-Being program.
• Retirement Savings Plans (RRSP, DCPP, TFSA) with a company contribution and a match to a DCPP, with no vesting period.
• Company paid holidays, vacation days, and paid sick leave.
• Discounts on home and auto insurance.

Thales is an equal opportunity employer who values diversity and inclusion in the workplace. Thales is committed to providing accommodations throughout the recruitment process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview; our team will gladly work with each candidate to meet their specific needs. All information related to accommodations will be treated confidentially and used only for the purpose of providing an adapted candidate experience.

This position requires direct or indirect access to hardware, software, or technical information controlled under Canada's Export Controlled Goods and Technology List, the Canadian Controlled Goods Program, the Canadian Industrial Security Program, the US International Traffic in Arms Regulations (ITAR) or the US Export Administration Regulations (EAR). All applicants must be eligible or able to obtain authorization for such access, including eligibility for the Canadian Controlled Goods Program and be able to obtain an enhanced reliability security clearance.