Software Developer Coop

Role description

As an intern within the Developer Platform team, you may contribute to different types of initiatives related to agentic AI, automation, development platforms, and the improvement of software engineering practices, depending on current priorities and the squad you are assigned to. The specific mandate will be confirmed later, but may include:

• Contribute to the exploration, prototyping, or integration of agentic AI solutions that support developers in their day-to-day activities, such as understanding code, automating tasks, analyzing pipelines, or helping resolve issues.
• Participate in improving the developer experience by simplifying the practices, tools, and processes used daily by software teams.
• Contribute to intelligent engineering initiatives, including collecting, analyzing, or visualizing data to better understand engineering performance and identify opportunities for AI-assisted support.
• Help automate recurring operational processes to reduce manual work, improve reliability, and accelerate platform adoption at scale.
• Contribute to the evolution of CI/CD pipelines, DevSecOps practices, or secure delivery mechanisms that may integrate AI-assisted analysis, recommendation, or automation capabilities.
• Participate in work related to development, integration, deployment, or operations platforms, including cloud, containerized, or automated environments.
• Collaborate with engineers, architects, and product owners to understand team needs and propose practical improvements.
• Explore and prototype solutions that improve the productivity, quality, security, visibility, or actionability of software development teams.

Candidate profile

We are looking for someone who is:

• Passionate about technology and automation.
• Curious, with an interest in learning and experimenting.
• Proactive, able to take initiative.
• Strong in problem-solving, with a logical and creative approach.

Desired technical skills:

• Currently enrolled in a university or college program in software engineering, computer science, information technology, or a related field.
• Previous hands-on exposure to software development concepts and at least one programming or scripting language, such as Python, C#, Java, TypeScript, PowerShell, or Bash, through coursework, labs, personal projects, or internships.
• Basic practical experience with CI/CD, DevOps, software development platforms, or collaborative development tools such as Git, GitHub, Azure DevOps, or Jira.
• Some exposure to automation, scripting, integrations, APIs, or operational improvements that reduce manual work and improve developer productivity.
• Exposure to cloud, container, or infrastructure concepts through coursework, labs, personal projects, or previous internships.
• Familiarity, even at an introductory level, with technologies such as Kubernetes/OpenShift, Terraform, Ansible, GitHub Copilot, Azure, Artifactory, ArgoCD, or similar platform engineering tools.
• Basic awareness or prior exposure to AI-assisted software development, software quality, cybersecurity, and modern platform engineering practices.

At CAE, our mission is clear: to help make the world a safer place. For nearly 80 years, we’ve driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success.

CAE is committed to providing equal opportunities to all applicants, regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by law. We encourage applicants who may not meet every qualification to apply. Reasonable accommodations are available—contact your recruiter or email CAECarrieres-Careers@cae.com if needed.

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As part of our process, we may use AI‑supported tools to help review applications, with human decision‑making at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.