<p>We are looking for a<strong> Software Developer</strong> to join a team delivering cloud-based backend solutions in<strong> Burlington, Ontario</strong>. In this role, you will contribute across planning, development, validation, and ongoing application support while working in a collaborative Agile and DevOps setting. The position focuses on building reliable APIs, data-focused services, and emerging AI-enabled capabilities that strengthen existing platforms. This opportunity is well suited to a mid-level developer with strong C# and .NET experience, solid cloud knowledge, and a practical approach to building scalable software.</p><p><br></p><p><strong>Responsibilities</strong>:</p><p>• Design, build, and enhance backend applications that support cloud-hosted software products and services.</p><p>• Develop and maintain APIs and service layers that enable secure, efficient, and scalable system integration.</p><p>• Participate in the full software development lifecycle, including technical design, coding, testing, deployment, and production issue resolution.</p><p>• Work closely with product and engineering stakeholders to translate business needs into maintainable technical solutions.</p><p>• Create data-driven functionality that supports application performance, reliability, and informed decision-making.</p><p>• Contribute to AI-related features, including the incorporation of intelligent capabilities into established systems where appropriate.</p><p>• Support DevOps practices by contributing to source control, automated delivery workflows, and continuous improvement of release processes.</p><p>• Troubleshoot defects, investigate root causes, and implement fixes to maintain a high standard of product quality.</p>

• Minimum of 5 years of experience in software development with a strong focus on backend systems.<br>• Hands-on proficiency with C# and .NET Framework in a detail-focused development environment.<br>• Experience building cloud-based solutions, including exposure to Microsoft Azure services and CI/CD practices.<br>• Strong working knowledge of SQL and data-centric application development.<br>• Familiarity with Agile delivery methods and tools such as Jira, along with experience using GitHub for version control.<br>• Understanding of software testing, bug tracking, and production support within a collaborative engineering team.<br>• Exposure to artificial intelligence concepts, including LLM-related applications, is considered an asset.<br>• Ability to collaborate effectively with cross-functional teams and contribute to scalable, high-performing software design.

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