Archie Rowland is a highly skilled and innovative Senior Software Engineer with over 12 years of experience in designing, developing, and deploying scalable software solutions. He possesses a strong background in full-stack development, cloud computing (AWS, Azure), and Agile methodologies. Archie is passionate about leveraging technology to solve complex problems and has a proven ability to lead and mentor engineering teams to deliver high-quality products. He is a proactive learner, always keen on exploring emerging technologies and applying them to create impactful and efficient systems. His expertise includes Python, Java, JavaScript (React, Node.js), microservices architecture, and database management.
Archie Rowland's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded the architectural design and development of 'Innovate Platform,' a SaaS product that acquired 10,000+ users within its first year, significantly exceeding initial adoption targets.
Led a successful initiative to migrate legacy systems to a serverless cloud architecture, resulting in a 40% reduction in operational costs and a 25% improvement in application performance.
Instrumental in transitioning a 20-person engineering department to Agile (Scrum) methodologies, improving team velocity by 30% and reducing time-to-market for new features.
Authored a well-received technical article on 'Best Practices for Scalable Microservices Architecture' published on a leading industry tech journal, contributing to thought leadership in the field.
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Qu is a hospitality tech company delivering a unified, cloud-based Point of Sale (POS) and restaurant management platform for enterprise and quick-service restaurant (QSR) brands. Their system aims to streamline operations, improve guest experience, and provide robust data analytics by connecting front-of-house, back-of-house, and digital ordering channels into a single ecosystem. This allows restaurant chains to manage menus, orders, and customer data more efficiently across all locations and touchpoints.
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