Integration Developer, Winter 2027 - Toronto or Vancouver (Co-op/Internship) - 4 Months

Collaborate with the integration development team to design and implement integration solutions, including configuring integrations, developing custom connectors, and scripting data transformations using VS Code, AnyPoint Code Builder and AI-assisted development tools.

Monitor existing integrations, triage production issues, and recover automated integrations to ensure seamless business functionality

Work with the DevOps team to analyze current integration processes.

Identify areas for improvement and help implement process enhancements to streamline integration workflows.

Leverage Generative AI and AI Coding Assistants (such as GitHub Copilot, ChatGPT, Claude, and Anypoint AI Assist) to accelerate API development, DataWeave transformations, debugging, documentation, and test case generation. .

Explore AI-powered integration use cases, including intelligent workflow automation, AI Agents, Model Context Protocol (MCP), API orchestration, and enterprise knowledge integration.

Assist in building secure AI-enabled integrations between enterprise applications and Large Language Models (LLMs) using modern AI integration patterns.

Create and manage PGP and SSH keys to ensure encryption standards are met when integrating with other systems.

Work closely with the infrastructure team to handle integration network requests, such as IP whitelisting and managing inbound and outbound connections from the cloud.

Manage API security policies and rules for all integration APIs.

Maintain detailed documentation of integration processes, configurations, and best practices.

Assist in creating user guides and knowledge base articles for team reference.

Collaborate with cross-functional teams, including developers, architects, and business analysts.

Continuously learn and stay updated on industry trends and best practices in integration technologies, particularly MuleSoft.

Currently enrolled in an academic program in Computer Science, Software Development, or Information Technology

Understanding of Programming Languages and how to work with Application Programming Interfaces (APIs) is fundamental. This includes knowledge of RESTful APIs, SOAP APIs, GraphQL , and more

Familiarity with middleware and Enterprise Service Bus (ESB) technologies such as MuleSoft, Azure Data Factory or TIBCO is valuable

Interest in Artificial Intelligence, Large Language Models (LLMs), AI Agents, Prompt Engineering, AI-assisted software development, and AI-powered automation.

Proficiency in working with databases (SQL and NoSQL) is necessary as data often needs to be retrieved, manipulated, and stored

Familiarity with integration patterns like publish-subscribe, point-to-point, request-reply, and event-driven architectures

Experience using AI coding assistants (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, or similar tools) for software development is considered a strong asset.

Effective communication is crucial to understand business requirements and collaborate with cross-functional teams

Excellent analytical, problem-solving, and debugging skills.

Curiosity, a growth mindset, and a passion for learning emerging technologies in enterprise integration and AI.

Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.

The technology landscape is constantly evolving, so a willingness to learn and adapt to new tools and techniques is vital

This job posting is for a newly created role within our organization.

The expected hourly range for this role is $23 to $25.

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The actual salary offered will take into consideration a wide array of factors including, but not limited to, the individual’s skill, experience, education and training, the market compensation of the role, and the consideration to internal equity.

We value diverse experiences and perspectives. Even if your skills don’t align 100% with the listed qualifications or salary range, we encourage you to apply – you may be a great fit for this role or others in our community. Applicants may also be considered for alternative positions within the organization where their qualifications and experience align more closely with available opportunities.

We use artificial intelligence (AI) technology — alongside human review — to assist in screening and assessing applicants for this position. Our recruitment team remains involved in all decisions.

Candidates must be legally authorized to work in Canada as the company does not provide work permit sponsorship for this role.

Note to Recruiters: QuadReal does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to QuadReal, directly or indirectly, will be considered QuadReal property. QuadReal will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for engaged services to submit resumes.