Andrews Juchem
Software Development Team Lead @Harris Computer
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WORK HISTORY
Software Development Team Lead @Harris Computer
Calgary, AB, CA
Drive AI-augmented development using tools like GitHub Copilot and multi-model strategies to speed delivery and improve code quality.• Design and maintain automated CI/CD pipelines in Jenkins to enable faster, safer releases.• Integrate MatchaAI into deployment and observability pipelines to analyze logs, surface patterns, and speed debugging.• Provide code reviews and architectural guidance, focusing on scalable and maintainable systems.• Own and maintain critical production systems, including Aspire, an energy load settlement platform (PL/SQL, Node.js), and Bridge, an API layer for core Revenue Manager functionality.• Identify and implement high-impact AI use cases, including code review assistance, log analysis, and deployment validation.• Act as a technical bridge between R&D and operations, ensuring solutions deliver measurable impact.
EDUCATION
Mount Royal University
Bachelor's degree, Computer Information Systems
Fundação Liberato Salzano Vieira da Cunha
College Diploma, System Development
Unisinos
Bachelor's Degree, System Analysis and Development
SKILLS
ABOUT ANDREWS JUCHEM
Software Development Team Lead at Harris Computer with 15+ years of experience delivering mission-critical systems in complex enterprise environments. I focus on scalable architecture, operational excellence, and practical AI adoption that drives measurable impact.I lead AI enablement across development workflows, integrating LLM-based tools such as GitHub Copilot and MatchaAI into CI/CD pipelines, observability, and release processes. My work emphasizes responsible AI, automation, and production-ready solutions that are secure, auditable, and maintainable.My background includes JavaScript, Node.js, PL/SQL, Oracle databases, and CI/CD automation. I have supported critical platforms such as Aspire and Bridge, ensuring reliability and long-term sustainability.I enjoy bridging engineering and operations, mentoring teams, and identifying high-impact opportunities where AI and automation improve delivery confidence and efficiency.
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