76 to 100 of 8,833 AWS Jobs in the UK

into backend systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks ...

into backend systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks ...

with generative AI tools and APIs (e.g., LLM-assisted coding, prompt engineering, integrating AI services into applications) Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar) Experience designing systems for reliability, scalability, and observability Ability ...

architecture, improving scalability, and enabling robust data integration across domains such as Synthetic Trading, DeltaOne, Stock Borrow Loan, Prime Brokerage, and Repo, using both AWS and GCP technologies. The team operates with a strong DevOps and Agile mindset, emphasising automation, continuous improvement, and close collaboration with business stakeholders. Responsibilities Design … build, and operate AWS-based cloud infrastructure to support Securities Financing trading and post-trade platforms. Own and contribute across the end-to-end delivery lifecycle, including solution design, deployment, monitoring, and optimisation of cloud infrastructure and data platforms. Develop and maintain infrastructure-as-code (IaC) using tools such ...

define and execute scalable, secure, and cost-effective network and cloud strategies. The role encompasses oversight of migration activities to public cloud platforms (AWS, Azure, Google Cloud), integration with private cloud and on-premises environments, and the establishment of architecture standards and frameworks. Key Responsibilities Define and maintain enterprise architecture … network and cloud solutions. Essential Skills Proven experience architecting and leading large-scale network and cloud transformation initiatives. Deep expertise in public cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud architectures. Strong background in enterprise network design, including routing, switching, security, and automation. Ability to establish and enforce design ...

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/ ...

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/ ...

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 ...

application architectures. Mastery of agile methodologies and their application across large, distributed teams. Enterprise-level expertise in Infrastructure as Code and public cloud architecture (AWS, Azure, or GCP). Strategy-level experience with CI/CD tools and automation at an organisational level. Desirable Experience Significant experience delivering high-profile ...

application architectures. Mastery of agile methodologies and their application across large, distributed teams. Enterprise-level expertise in Infrastructure as Code and public cloud architecture (AWS, Azure, or GCP). Strategy-level experience with CI/CD tools and automation at an organisational level. Desirable Experience Significant experience delivering high-profile ...

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 ...

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 ...

Privacy Controls Enterprise Security Architecture Frameworks Familiarity with: NCSC Cloud Security Principles ISO 27001 NIST Cybersecurity Framework CIS Controls OWASP Technical Experience Cloud Platforms AWS Microsoft Azure Google Cloud Platform (GCP) Security Technologies Microsoft Defender Suite Splunk Microsoft Sentinel CrowdStrike Prisma Cloud Wiz Lacework Tenable Qualys Infrastructure & DevOps Kubernetes Docker ...

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 ...

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 ...