Phu Bui

DevOps & Infrastructure Lead at Semble

Phu Bui has a diverse and extensive work experience in the field of DevOps and IT operations. Phu began their career at Freedman International as a Systems Support Engineer, where they provided 1st and 2nd line IT support, diagnosed and resolved software and hardware issues, and managed systems documentation. Phu then joined SunGard as a 2nd Line Support Engineer, responding to customer service requests, supporting desktop and server environments, and assisting with backup and monitoring tasks.

Phu's next role was at Leo Tech Services as an IT Operations Engineer, where they handled various IT operational tasks and responsibilities. Phu then joined Elemental Concept as a DevOps Engineer, where they gained experience in designing and implementing DevOps practices. At Elliptic, Phu worked as a DevOps Engineer and was responsible for enabling development and test environments, building a CD framework, integrating automated testing, researching new technologies, and ensuring performance and stability through logging and monitoring.

Currently, Phu is working at Semble as a DevOps & Infrastructure Lead, where they are leading the DevOps and infrastructure initiatives. Their role involves making architectural decisions, researching and recommending new technologies, and driving the use of logging, monitoring, and analytics.

Overall, Phu Bui's work experience demonstrates their expertise in DevOps engineering, IT support, and infrastructure management, with a focus on implementing best practices and driving innovation.

Phu Bui earned a Bachelor's Degree in Computer Science and Games Technology from City, University of London. This educational journey took place from 2005 to 2008.

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London, United Kingdom

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Semble

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Healthcare businesses of all sizes, from individual clinicians to large enterprises, use Semble’s software and APIs to manage every aspect of their practice. Our vision is to empower health professionals in their daily work to continuously improve the quality of their care delivery. In this process, we aim to learn from medical data to further benefit health professionals, patients and clinical research.


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51-200

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