4 Permanent Cloud Computing Jobs in Cambridgeshire

you will be doing Hands-on coding in a range of technologies across the full stack of a modern web application deployed in the Cloud Defining application architecture and selecting frameworks, libraries and cloud-based technologies that solve business problems Contributing to adoption of best practices in design … coding, testing, debugging, code reviews, maintenance, and support We’re excited if you have 5+ years of full-stack development with modern web/cloud technologies 3+ years of experience back-end development in Python/Flask, node.js etc. 2+ years of JavaScript front-end frameworks e.g. React, Angular … Ember etc. 2+ years of experience in running applications in AWS/Azure/GCP Experience with Cloud Computing, REST APIs, and microservice architectures Experience with Git, CI/CD pipelines, Docker Proven track record of success with web application development and deployment Excellent verbal and written communication more »

the tools used for software profiling and CPU performance analysis. Their use as profiling applications for platforms ranges from mobile phones, to cars, to cloud servers. We are currently expanding our focus on the cloud computing and network infrastructure use cases, and are looking to grow our more »

and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis. Integrate machine learning models into production systems, ensuring seamless deployment and operation. Optimise system performance and resource … requirements, architect solutions, and drive projects to completion. Keep up to date with emerging technologies and best practices in AI infrastructure, distributed systems, and cloud computing. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. Deep, extensive experience with Python programming and strong proficiency in more »

and deploy scalable and resilient infrastructure solutions to support AI and machine learning initiatives. Manage and optimise data pipelines, storage systems, messaging frameworks and computing resources for efficient data processing and analysis. Integrate machine learning models into production systems, ensuring seamless deployment and operation. Optimise system performance and resource … requirements, architect solutions, and drive projects to completion. Keep up to date with emerging technologies and best practices in AI infrastructure, distributed systems, and cloud computing. Requirements : Master's or PhD in Computer Science, Engineering, or a related field. Deep, extensive experience with Python programming and strong proficiency in more »