Intern, Full Stack Developer, C#

Kinaxis

. Work with senior engineers on developing, enhancing, and integrating software solutions for real-world AI/ML applications .

Posted 10/23/2026internshipOttawa • CanadaEntry Level💰 CA$27 - CA$40 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong software engineering skills with proficiency in Python and C#, alongside hands-on experience in developing and integrating Machine Learning solutions. Familiarity with cloud environments such as Azure and GCP, as well as tools like Docker and Kubernetes, is essential for optimizing AI/ML applications.

Highest-signal resume keywords

Python ProgrammingC# ProgrammingMachine Learning SolutionsDocker and KubernetesAzure/GCP Cloud Environments

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMachine LearningSQL ProficiencyGenerative AIPrompt EngineeringCI/CDDistributed ComputingDebuggingTroubleshootingProblem Prevention

Soft Skills

Strong CommunicationCustomer OrientationLogical Problem SolvingAdaptabilityEnthusiasm for Learning

Tools & Technologies

DockerKubernetesArgo WorkflowsGitHub ActionsTerraformLinux/Unix CLIPandasAI Coding AssistantsClaude CodeOpenAI Codex

Industry Keywords

AI/ML ApplicationsSoftware SolutionsEnd-User PerspectiveScalabilityMaintainabilitySecurityQuality AssuranceContinuous ImprovementDevelopment ToolsIntegration

Tech Stack

Tools & technologies

AzureCloudDockerGoogle Cloud PlatformKubernetesLinuxPandasPythonSQLTerraformUnix

About the role

Key responsibilities & impact

Work with senior engineers on developing, enhancing, and integrating software solutions for real-world AI/ML applications
Contribute to continuous improvement of the AI platform, including scalability, maintainability, security, and quality
Develop and integrate ML software end to end, including development tools, infrastructure, ML pipelines, and models
Design troubleshooting, debugging, and problem-prevention methods for ML software systems
Develop product capabilities and tools that improve user experience and reduce troubleshooting costs and resolution time
Automate and improve development and release processes
Understand end-user use cases and the system architecture and implementation end to end
Gain hands-on experience through paired programming, code reviews, and mentorship
Participate in sprint planning, huddles, paired programming, retrospectives, and cross-functional collaboration
Verify functional and non-functional feature quality and take ownership of developed features
Work with Python, C#, Docker, Kubernetes, Argo Workflows, Azure/GCP, GitHub Actions, Shell Script, Terraform, Linux/Unix CLI, and SQL

Requirements

What you’ll need

Currently pursuing a Master's degree or have completed 3rd year Bachelor's degree in Computer Science, Software Engineering, or a related field
Currently enrolled in full-time education or a recent/upcoming graduate within 12 months of the placement end date
Familiarity and experience with Generative AI and LLMs, prompt engineering, AI coding assistants, GitHub Copilot, Claude Code, OpenAI Codex, etc.
Strong software engineering skills and programming proficiency in Python and C#, with experience using libraries such as Pandas and ML frameworks
Experience with Docker and Kubernetes at scale, including Helm, Argo Workflows, and CI/CD
Working experience with Azure/GCP cloud environments
Proficiency in SQL, including window functions, aggregate functions, and joins
Understanding of distributed computing architectures
Experience with Machine Learning Solutions and productization
Strong customer orientation and ability to understand the system end-user perspective while integrating ML software for production systems
Ability to work through complex technical problems with a logical and methodical approach
Strong communication skills and ability to articulate complex concepts in writing and speech
Enthusiasm for software development, AI/ML, and cloud computing
Ability and enthusiasm to learn new technologies and adapt to change

Benefits

Comp & perks

Flexible vacation and Kinaxis Days (company-wide days off)
Flexible work options
Physical and mental well-being programs
Regularly scheduled virtual fitness classes
Mentorship programs, training, and career development
Recognition programs and referral rewards
Hackathons
Recruitment accommodations upon request