76 to 100 of 7,343 AWS Jobs in the UK

programming language (e.g., Python, Go, Java, C#) and experience with scripting languages (e.g., Bash, PowerShell). Deep understanding of cloud computing platforms (e.g., AWS), the working and reliability constraints of some of the prominent services (e.g., EC2, ECS, Lambda, DynamoDB etc) Experience with infrastructure as code tools such as CloudFormation … standard monitoring and automation tools such as Splunk, Datadog, Pagerduty Rundeck. Familiarity with configuration management tools like Ansible, Puppet, or Chef. Certifications such as AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, or equivalent. Personal attributes: Strong communication skills and the ability to collaborate effectively with cross-functional teams. ...

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/ ...

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 fundamentalsConsulting & Delivery• Proven experience in DevOps processes and best practices, applied in a client-facing consulting context• Ability to lead architecture reviews, workshops … 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 ...

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. ...

microservices, event-driven architectures, and API design. Experience designing highly available, fault-tolerant cloud-native applications. Expertise with Kubernetes, container orchestration, and cloud platforms (AWS, Azure, or GCP).Experience building CI/CD platforms and software delivery pipelines. Strong understanding of Infrastructure as Code using Terraform, CloudFormation, or similar technologies. ...

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 ...

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 ...

Your responsibilities will be multifaceted, encompassing the development, management, configuration, and automation of systems and services within the dynamic landscapes of Azure (primary) and AWS (secondary) Additionally you will be: Collaborating within agile, specialized teams, you'll infuse your expertise into projects, whether working independently or fostering fresh ideas ...

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 ...

Leadership: Demonstrated experience in architecting and designing large-scale monitoring and observability solutions.* Expert-Level Tooling: Deep expertise with modern observability platforms (e.g., Dynatrace, AWS Cloudwatch, Prometheus, Grafana, ELK Stack, Splunk, OpenTelemetry).* Cloud & Infrastructure: Advanced knowledge of major cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and Infrastructure … Green).* Software Engineering Foundation: Strong background in software engineering principles, database administration, and distributed systems architecture* Certifications: Relevant senior-level industry certifications (e.g., AWS Certified DevOps Engineer - Professional, Certified Kubernetes Administrator).Just So You Know...The company presents this job description as a guide to the major areas and duties ...

Platforms is home to Data Engineers, Platform Engineers, DevOps Engineers, and Solution Architects who help our clients deliver and operate cloud data platforms on AWS, Azure and GCP, including technologies such as Databricks and Snowflake. As a DataOps Engineer, you will partner closely with engineering and delivery teams to standardise … meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.**Why we’re different**At Capgemini, we help organisations across the world become more agile, more ...

Hapi). Frontend : Strong proficiency in Next.js and Angular . Microservices : Proven experience designing and deploying microservices in production. Cloud : Expertise in GCP (AWS/Azure experience also relevant). DevOps : Familiarity with CI/CD tools (GitHub Actions, GitLab), IaC (Terraform, Ansible), and monitoring tools (Datadog, Grafana). Containerization ...

Confluence, Jira, Azure DevOps (ADO), GitHub (or equivalents) Technical skills/qualifications required Experience designing and deploying applications on cloud infrastructure such as AWS and Microsoft Azure Demonstrable experience architecting modern data and analytics platforms, including: Data warehousing Data engineering and orchestration Streaming BI and reporting Integration platforms Strong understanding ...

success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We're an award-winning employer reflecting … employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, 350/300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing ...

cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice. Your role and responsibilities As an AWS DevOps Infrastructure Specialist, you'll bring your technical expertise and problem-solving skills to our team, contributing to the design, deployment, and maintenance of containerized … work alongside experienced professionals, learning and growing as you help ensure seamless integration with DevOps toolchains. Responsibilities: Design and deploy containerized applications on AWS, leveraging expertise in AWS component services Provision AWS infrastructure, considering cloud-native architecture and deployment models Ensure seamless integration with DevOps toolchains and CI/ ...