1 to 6 of 6 Cloud Operations Jobs in the UK excluding London with Remote Work Options

Senior Cloud DevOps Engineer Hybrid working, 50% in either the Reading, Birmingham or London offices. Fusion Analytics Warehouse (FAW) provides pre-packaged analytic applications hosted on Oracle Cloud Infrastructure (OCI), built for Oracle Fusion Cloud Applications. Our Services deliver pre-built data models for ERP, HCM, SCM … that provide analytical and actionable insights to the Business User. We are looking for Senior DevOps professionals to join our growing Oracle Analytics Applications Cloud Operations team. In this position, you will be responsible for ensuring the smooth operation of our critical cloud infrastructure, incident management, deployment … automation across multiple production and preproduction environments, process improvements, and more. Roles and Responsibilities Support the operation of FAW on OCI using Cloud DevOps methodologies including: Incident management: analyze T2 metrics, and alarms, alongside Lumberjack logs. Troubleshoot, repair, and document infrastructure and service issues. Start/stop/upgrade more »

benefit options for you to choose from. Apply now! What you'll do: Learn about hyperscaler environments such as AWS, Azure, GCP and Alibaba Cloud and ensure products run reliably and optimally in these environments. Develop, test and maintain build systems, CI/CD frameworks, and deployment tools. Automate … and streamline deployment processes. Collaboratively design new features and work closely with our engineering and operations team to build, integrate, test, and deploy your amazing innovations and algorithms into our production systems. What you bring 3+ years public cloud operations support in AWS, Azure or GCP Experience … of Azure AD/Entra ID Understanding of cloud based identity services and federation Design and build advanced automations with a focus on more efficient operations and governance at enterprise scale Documentation of solutions (e.g. configuration and setup) Working in an Agile environment and a solid understanding of more »

environments for building AI-systems Support the setup and administration of newly created AWS accounts Enable two teams in our business by managing LLM-Operations Communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner. Your skills and qualifications: 5+ years … of experience in DevOps, Cloud Operations, Data Engineering, or a related field, with a strong team player mindset and a sense of ownership High proficiency in AWS administration, IaC (Terraform), CI/CD, and test automation best practices, with experience in setting up compute, storage, and service infrastructure … Strong expertise in AWS cloud infrastructure, including VPC, Route53, and IAM permission management Excellent communication skills in English Bachelor's degree in Computer Science or a related field (Master's degree preferred) Nice to have: experience with LLMs, Vector Databases, AWS EMR, Spark, and Python Our commitment: Equal opportunities more »

reimbursed. Please read in full before applying… This role is a great opportunity for someone in the world of SharePoint Architecture, Technical Architecture, Technical Cloud Operations/Integrations Services Management/Cloud Data Infrastructure/API Infrastructure to work with a Technical Product mindset to become a … to call upon, along with 3rd party organisations to work with. We need someone who fully understands SharePoint 365, Microsoft Stack technologies (including Azure Cloud), APIs, Data Security, Data Integration and excellent, solid, proven Stakeholder Management. Read on for more details: Responsibilities: Lead in designing, specifying and selecting information more »

responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt MLE & DevOps experts. Understand current AI pipelines … advance current ML workflows and software development standards. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in DevOps, Cloud Operations, ML-engineering, AWS administration and permission management. Expertise with building enterprise scale ML & LLM solutions, Docker, IaC (Terraform), CI/CD (Atlassian more »

learning & development as well as recruiting. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in working with DevOps, Cloud Operations, ML-engineering teams. Expertise in driving projects to build enterprise scale ML & LLM solutions. Ambition to understand, question, & shape our ML-based more »