Integration developer Jobs in Whitby, ON

Job Overview

We are seeking highly skilled Integration Developers with a strong focus on API development and integration platforms. This role involves designing, developing, and maintaining integration solutions for enterprise systems on the Azure platform. This role is 50% development of APIs and integration solutions, 30% communication with cross-functional teams, and 20% identifying areas for process improvement.

This is a unique opportunity to work on brand-new development projects, building solutions from scratch.

Key Responsibilities

• API Development: Build, test, and maintain APIs natively on the Azure cloud platform, ensuring seamless integration between applications.
• Integration Platform Expertise: Develop and manage integration solutions using Azure API Management, Azure Functions, and Service Bus.
• Real-Time Communication: Focus on real-time API communication and integration, with occasional data integration tasks using Azure Data Factory (ADF) and Microsoft Fabric.
• Message Brokers and Queues: Develop and deploy message brokers and message queues to enable reliable and efficient communication based on SOA.
• DevOps and CI/CD: Fully leverage CI/CD pipelines and DevOps processes throughout the software development lifecycle, including automation, source control (Git), and deployment to production.
• Development Focus: Dedicate 50% of work time to hands-on development of APIs and integration solutions, ensuring high-quality, scalable, and efficient code.
• Collaboration: Dedicate 30% of work time to communication with cross-functional teams, attending Agile scrums, and providing updates on tasks and user stories.
• Efficiency Improvements: Spend 20% of work time identifying areas for process improvement and proposing innovative solutions to enhance development workflows.
• Monitoring and Troubleshooting: Utilize Azure Application Insights and other monitoring tools to assess API performance, handle exceptions, and resolve issues effectively.

Qualifications

• Requires a University Degree.
• 7 to 10 years of hands-on experience building integration platforms and components, preferably on Azure environment.
• Proven expertise in designing, building, and managing integration platforms using Azure API Management, with strong skills in API development (REST, Synch/Async) using .NET and Azure Functions.
• Deep experience in microservices and middleware architecture, including event-driven solutions with sub/pub patterns using Azure Service Bus / ESB, and process orchestration with Kubernetes.
• Proficient in leveraging cloud-native technologies to design and deploy scalable solutions, and in implementing ETL jobs with ADF and Microsoft Fabric (ADF experience is sufficient).
• Strong DevOps knowledge across the entire SDLC, with a focus on automation, using tools like GIT for source control, and Microsoft Co-Pilot to accelerate development and code delivery.
• Ability to set up API security, authentication, and monitoring using Azure tools such as Application Insights.
• Excellent troubleshooting skills for production issues, with a quality-focused mindset and adherence to SLAs, and effective collaboration and communication across development, operations, and architecture teams.
• Strong communication and collaboration skills to work effectively with development, operations, and architecture teams.
• Proactive approach to identifying inefficiencies and proposing improvements to processes and workflows.

CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback.

AI-generated outputs are intended to supplement, not replace, human judgment. All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights.

CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations. The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.