76 to 100 of 8,797 AWS Jobs in the UK

Boards, and Artifacts, Infrastructure as Code (particularly Terraform or ARM/Bicep), Docker, Kubernetes, or Azure Kubernetes Service (AKS), Perl or Ruby for automation, AWS or other cloud platforms, Agile development environments, experience supporting MOD, defence, government, or other security-sensitive environments Условия The role requires current UK Security Check ...

observability tools .Ability to troubleshoot containerized workloads in production environments and optimize performance, scalability, and resilience Key Responsibilities Skill CategoryRequired SkillsProficiency Cloud Platforms Azure, AWS, GCPExpert CI/CD Tools Azure DevOps, Jenkins, GitHub Actions, GitLab CI/CDExpert Containerization Docker, PodmanAdvanced Container Orchestration Kubernetes (AKS/EKS/ ...

capabilities across the enterprise. Key responsibilities include: Designing scalable, secure and cost-effective data, analytics and AI architectures Leading cloud transformation initiatives across AWS, Azure and GCP environments Developing AI-enabled solutions, Proofs of Concept and MVPs that deliver measurable business value Defining enterprise data and AI strategies, governance frameworks … deliver transformational outcomes Supporting business development activities, proposals and thought leadership initiatives To be successful, you will have: Strong experience in cloud architecture across AWS, Azure and/or GCP Expertise in cloud-native technologies, including containers, Kubernetes and serverless platforms Experience with Infrastructure-as-Code, DevOps and CI/ ...

building and consuming REST APIs Familiarity with Hibernate/JPA Experience with messaging systems like Kafka or RabbitMQ Exposure to cloud platforms such as AWS, Azure, or GCP Experience with containerization tools like Docker and Kubernetes Understanding of secure coding practices and application performance tuning Experience with Git and Agile ...

their data by designing scalable, high-impact data solutions.. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. As employee growth is a huge focus here at Made Tech, we would expect you to contribute to our recruitment efforts … delivering a production ready data platform on one or more occasions. Engineering and Data Engineering Proficiency in Python Proficiency in cloud platforms like AWS, Azure, or GCP The capacity to build and manage large-scale data transformation workflows Proficiency in managing PII and sensitive information while ensuring compliance with data ...

their data by designing scalable, high-impact data solutions.. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. As employee growth is a huge focus here at Made Tech, we would expect you to contribute to our recruitment efforts … delivering a production ready data platform on one or more occasions. Engineering and Data Engineering Proficiency in Python Proficiency in cloud platforms like AWS, Azure, or GCP The capacity to build and manage large-scale data transformation workflows Proficiency in managing PII and sensitive information while ensuring compliance with data ...

their data by designing scalable, high-impact data solutions.. Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP. As employee growth is a huge focus here at Made Tech, we would expect you to contribute to our recruitment efforts … delivering a production ready data platform on one or more occasions. Engineering and Data Engineering Proficiency in Python Proficiency in cloud platforms like AWS, Azure, or GCP The capacity to build and manage large-scale data transformation workflows Proficiency in managing PII and sensitive information while ensuring compliance with data ...

e.g., Vite, Webpack) and state management libraries. Experience with CI/CD tools (e.g., GitHub Actions), IaC (e.g., Terraform), and cloud platforms (Azure/AWS). Leverage modern AI tools (e.g. GitHub Copilot, Claude Code, etc.) to improve productivity where appropriate. Good problem-solving skills and understanding of scalable system ...

capabilities across the enterprise. Key responsibilities include: Designing scalable, secure and cost-effective data, analytics and AI architectures Leading cloud transformation initiatives across AWS, Azure and GCP environments Developing AI-enabled solutions, Proofs of Concept and MVPs that deliver measurable business value Defining enterprise data and AI strategies, governance frameworks … deliver transformational outcomes Supporting business development activities, proposals and thought leadership initiatives To be successful, you will have: Strong experience in cloud architecture across AWS, Azure and/or GCP Expertise in cloud-native technologies, including containers, Kubernetes and serverless platforms Experience with Infrastructure-as-Code, DevOps and CI/ ...

services using Spring Boot and the wider Spring Framework. Experience of Microservices design and architecture, including Restful API services. Strong knowledge of public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes). Proficiency in Infrastructure as Code tools such as Terraform. Proficient in using CI/ ...

engineering principles including testing, design patterns, maintainability, and code quality. Experience building and deploying applications on cloud platforms, preferably Google Cloud Platform (GCP), although AWS or Azure experience is also valued. Hands‐on experience with Docker, Kubernetes, and container orchestration. Experience designing and developing RESTful APIs and microservices. Strong understanding ...

Terraform and OpenAPI. Containerisation is a big part of empowering our teams to develop, deploy and scale their applications, but so too is using AWS Lambda and avoiding the complexity of stateful services altogether. Right tool for the job. For us, DevOps is about culture rather than roles and titles. ...

Terraform and OpenAPI. Containerisation is a big part of empowering our teams to develop, deploy and scale their applications, but so too is using AWS Lambda and avoiding the complexity of stateful services altogether. Right tool for the job. For us, DevOps is about culture rather than roles and titles. ...

clearance throughout employment. Proven experience in DevOps, Platform Engineering, Cloud Engineering, or Site Reliability Engineering roles. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP). Experience with Infrastructure as Code tools such as Terraform, CloudFormation, ARM Templates, or Bicep. Strong knowledge ...

VMware Tanzu)• Infrastructure as Code and DevOps practices (Terraform, Bicep, Ansible, GitOps and CI/CD pipelines)• 5+ years’ experience across Azure, AWS, or GCP; strong DevOps fundamentals**Consulting & Delivery**• Proven experience in DevOps processes and best practices, applied in a client-facing consulting context• Ability to lead architecture reviews … exposure to high-profile transformations and hands-on exposure to leading AI technologies• Formal training by industry experts, with access to certifications across cloud (AWS, Azure, GCP), AI/ML, and Agile delivery (Scrum Master, Product Owner, SAFe)• Les Fontaines — our unique training environment just outside of Paris, for thought ...

VMware Tanzu)• Infrastructure as Code and DevOps practices (Terraform, Bicep, Ansible, GitOps and CI/CD pipelines)• 5+ years’ experience across Azure, AWS, or GCP; strong DevOps fundamentals**Consulting & Delivery**• Proven experience in DevOps processes and best practices, applied in a client-facing consulting context• Ability to lead architecture reviews … exposure to high-profile transformations and hands-on exposure to leading AI technologies• Formal training by industry experts, with access to certifications across cloud (AWS, Azure, GCP), AI/ML, and Agile delivery (Scrum Master, Product Owner, SAFe)• Les Fontaines — our unique training environment just outside of Paris, for thought ...

VMware Tanzu)• Infrastructure as Code and DevOps practices (Terraform, Bicep, Ansible, GitOps and CI/CD pipelines)• 5+ years’ experience across Azure, AWS, or GCP; strong DevOps fundamentals**Consulting & Delivery**• Proven experience in DevOps processes and best practices, applied in a client-facing consulting context• Ability to lead architecture reviews … exposure to high-profile transformations and hands-on exposure to leading AI technologies• Formal training by industry experts, with access to certifications across cloud (AWS, Azure, GCP), AI/ML, and Agile delivery (Scrum Master, Product Owner, SAFe)• Les Fontaines — our unique training environment just outside of Paris, for thought ...

Spring Framework. Experience designing and building microservices and RESTful APIs. Exposure to Node.js, TypeScript, Express.js or similar frontend technologies. Experience working with AWS, Azure or GCP. Knowledge of Docker, Kubernetes and Infrastructure as Code using Terraform. Experience implementing CI/CD pipelines using Jenkins, Azure DevOps or similar. A proven ...

Spring Framework. Experience designing and building microservices and RESTful APIs. Exposure to Node.js, TypeScript, Express.js or similar frontend technologies. Experience working with AWS, Azure or GCP. Knowledge of Docker, Kubernetes and Infrastructure as Code using Terraform. Experience implementing CI/CD pipelines using Jenkins, Azure DevOps or similar. A proven ...

external workflows. Develop, fine‐tune, and deploy LLM‐based applications (e.g., chatbots, assistants, knowledge extraction tools). Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC. Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment. Build intuitive interfaces that … APIs and micro‐services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI). Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‐as‐Code (Terraform). Proven problem‐solving skills and ability to thrive in fast‐paced environments. Excellent ...

external workflows. Develop, fine-tune, and deploy LLM-based applications (e.g., chatbots, assistants, knowledge extraction tools).Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC.Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment. Build intuitive interfaces that enable teams … RESTful APIs and micro-services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI).Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure-as-Code (Terraform).Proven problem-solving skills and ability to thrive in fast-paced environments. Excellent communication ...

support analytics, operational workloads, AI and emerging use cases. You may work with technologies and architectural approaches including, but not limited to: Cloud platforms: AWS, Azure and GCP Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing ...

techniques. Strong analytical, troubleshooting, and root‐cause analysis skills. Ability to independently drive quality initiatives and influence engineering teams. Preferred Experience Experience with Azure, AWS, or Google Cloud environments. Experience with containerized platforms such as Docker and Kubernetes. Experience implementing contract testing and service virtualization. Experience with performance testing tools ...

drive continuous improvement. Monitoring, Observability & Cost Optimization: Deploy and manage cloud-native monitoring, logging, and tracing solutions (e.g., Azure Monitor, GCP Operations Suite, AWS CloudWatch, Prometheus, Grafana). Analyse resource utilization, optimise for performance and cost, and implement automated scaling and rightsizing. Produce dashboards and reports for operational and business ...

Enterprise Data Architecture: You should have practical architecture experience across both established enterprise approaches and modern data patterns, including: Cloud-native data platforms (AWS, Azure, GCP).Snowflake, Microsoft Fabric, and/or SageMaker (multi-platform experience advantageous).Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh ...