26 to 50 of 1,322 AWS Jobs in the UK

AWS Cloud Engineer £55,000 to 70,000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Cloud Engineer - AWS Location: London - Hybrid (3 days per week in the office) Salary: £55,000-£70,000 DOE Security requirement: Sole UK Citizen/Sole UK National, eligible … obtain the required level of UK security clearance. The Opportunity We are looking for an experienced Cloud Engineer with strong hands-on AWS expertise to join a specialist engineering team delivering secure, cloud-based solutions across national security, government and public-sector environments. You will work within an autonomous DevOps ...

familiarity with basic data structures for constructing a solution Understanding of dimensional data models and slowly changing dimensions/historic data capture Use of AWS console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB and LakeFormation Familiarity with Amazon Textract ...

/CD pipelines and DevOps practices. Experience working within Agile delivery teams . Strong problem-solving and communication skills. Desirable Skills Experience with AWS or other cloud platforms. Docker and Kubernetes experience. Government or public sector project experience. Exposure to event-driven architectures using Kafka or similar technologies. Experience with ...

software development. Relevant experience includes: DevOps & Platform Engineering: CI/CD, Infrastructure as Code, Terraform, Docker, Kubernetes and cloud-native deployment practices. Cloud Technologies: AWS, Azure or GCP, including architecture, infrastructure automation and production operations. Software Engineering: Python, APIs, modern development frameworks, Git, automated testing and software delivery best practices. ...

Some proficiency in multiple programming languages such as Python, JavaScript, or similar. Extensive experience writing well-tested code. Good knowledge of cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event ...

support. Create metrics to continuously evaluate the performance of machine learning solutions and improve the performance of existing machine learning solutions Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows. Use Python/Java and large-scale …/or finetuning LLM’s. Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure ...

TypeScript. Familiarity with GraphQL or other modern data-fetching technologies. Experience in integrating message brokers (e.g., RabbitMQ, Kafka). Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of microservices architecture and related tools. Experience with testing frameworks like Mocha, Chai, or Jest. Familiarity with front-end technologies ...

AIsolutions using an LLM backed architecture. Strong understanding of API design, microservices, and event-driven architectures. Experience building and operating cloud-native services on AWS, including Bedrock. Strong DevOps practices: CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructure-as-code (e.g., Terraform/CloudFormation). Strong prompt ...

scale ETL and data integration solutions Strong understanding of distributed computing concepts and data processing frameworks Experience working with modern cloud platforms including Azure, AWS or GCP Knowledge of software engineering principles, testing and code quality practices Experience working within Agile development environments Excellent problem-solving and troubleshooting capabilities Desirable ...

environments. Strong understanding of data modelling , data structures, and their advantages and limitations across different use cases. Experience working with public cloud platforms , particularly AWS , including services such as EC2, RDS, Lambda, Athena, and Glue . Experience configuring and optimising Relational and NoSQL databases, including query tuning and performance optimisation. ...

latency messaging technologies. Knowledge of AI tooling applications within QA workflows to improve coverage, efficiency and defect detection. Exposure to cloud platforms such as AWS, GCP, Azure, and OpenShift. Financial services or trading domain experience is a nice to have. Strong communication and collaboration skills, with confidence engaging internal ...

experience with automation tools (e.g. Ansible, Terraform) Proficiency in scripting languages (Python, Bash, PowerShell) Knowledge of containerisation (Docker, Kubernetes) Familiarity with cloud environments (AWS, Azure) Awareness of cybersecurity practices in secure system delivery Experience designing and maintaining pipelines in GitHub Actions, GitLab CI, Jenkins, or Azure DevOps Knowledge of monitoring ...

methodologies such as Agile or Scrum, in particular iterative approaches to software development in conjunction with the client. Experience with cloud platforms such as AWS, Azure or Google Cloud. Familiarity with DevOps practices and principles, such as CI/CD pipelines, containerisation (e.g. Docker) and associated orchestration. This ...

experience developing enterprise applications in Python . Experience designing and building APIs and service-oriented architectures. Strong understanding of cloud platforms such as Azure, AWS or GCP . Experience with Docker, Kubernetes and containerised deployments. Knowledge of job orchestration, workflow engines and message queues. Strong SQL and data integration experience. ...

Full Stack Software Engineer. Development expertise in: TypeScript Java Ruby Experience designing, building and consuming APIs. Strong understanding of modern software engineering practices. AWS cloud experience. Experience working within Agile delivery teams. Excellent communication and stakeholder management skills. Interest in applying AI tools and approaches within software delivery. Desirable Experience ...

developing microservices, REST APIs, Apache Kafka and Kafka Streams. Strong SQL skills and understanding of data modelling, data analysis and dbt. Cloud experience across AWS, GCP or Azure, ideally including GKE. Knowledge of Docker, Kubernetes, Helm, Jenkins, IAM and API gateways such as Apigee. Experience with Python, Pytest, API automation ...

technologies such as Docker, Podman, Kubernetes, or OpenShift. Experience supporting virtualised infrastructure using VMware and/or Nutanix. Experience working with public cloud platforms; AWS, Microsoft Azure, and Google Cloud Platform (GCP) experience is highly desirable. Employment Type: Permanent Location: Hybrid. 3 days per week in Portsmouth OR Salibury. Security ...

collaborate across different levels and stakeholder groups Preferred qualifications, capabilities, and skills Knowledge of distributed tracing, metrics, and logging best practices Certification in AWS, Kubernetes, or relevant technologies Proven track record in system health monitoring, capacity management, and blameless postmortems for high-availability services Deep understanding of distributed system design ...

promote good engineering practices, addressing security risks, performance bottlenecks and reliability issues within the systems you work on. Build and maintain services in AWS, using Lambda, RDS, S3 or Lightsail as appropriate to the product. Apply your understanding of AI-related cost, latency and reliability to implementation decisions, including recognising ...

promote good engineering practices, addressing security risks, performance bottlenecks and reliability issues within the systems you work on. Build and maintain services in AWS, using Lambda, RDS, S3 or Lightsail as appropriate to the product. Apply your understanding of AI-related cost, latency and reliability to implementation decisions, including recognising ...

promote good engineering practices, addressing security risks, performance bottlenecks and reliability issues within the systems you work on. Build and maintain services in AWS, using Lambda, RDS, S3 or Lightsail as appropriate to the product. Apply your understanding of AI-related cost, latency and reliability to implementation decisions, including recognising ...

Node.js, Solr) RDBMS (e.g. PostgreSQL, MySQL, Oracle, MS SQL) NoSQL (e.g. MongoDB, Cassandra, Riak) Containerisation and microservices (e.g. Docker, rkt) IaaS and PaaS (e.g. AWS, Openstack, Deis, Kubernetes, Mesos, Rancher) Experience of programming and scripting (e.g. Bash, Java, Go, Javascript, Powershell) Experience of configuration management tools such as Ansible, Chef ...

industries. Understanding of software architecture, integration patterns and secure solution design. Experience with DevOps tooling such as Git, Jenkins, Docker or Kubernetes. Exposure to AWS, Azure and/or Google Cloud. Experience working within large, complex delivery environments. If you think you are right for the role, or know somebody ...

industries. Understanding of software architecture, integration patterns and secure solution design. Experience with DevOps tooling such as Git, Jenkins, Docker or Kubernetes. Exposure to AWS, Azure and/or Google Cloud. Experience working within large, complex delivery environments. If you think you are right for the role, or know somebody ...

industries. Understanding of software architecture, integration patterns and secure solution design. Experience with DevOps tooling such as Git, Jenkins, Docker or Kubernetes. Exposure to AWS, Azure and/or Google Cloud. Experience working within large, complex delivery environments. If you think you are right for the role, or know somebody ...