51 to 75 of 2,279 AWS Jobs in the UK

with Python and/or Java would be advantageous. Strong understanding of distributed systems, gRPC, microservices architecture, and RESTful APIs. Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).Solid understanding of database design, query optimization, and administration for relational (e.g. PostgreSQL) databases. Knowledge of scalability strategies ...

Technical Troubleshooting: Proven ability to investigate, diagnose and resolve complex platform and infrastructure issues. Desirable skills and experience: Experience with cloud platforms such as AWS, Azure, GCP or equivalent on-premises environments. Familiarity with Elastic for logging, monitoring and observability. Understanding of service mesh technologies and Kubernetes networking. Experience supporting ...

/CD pipelines and tools like Azure DevOps, Jenkins or GitHub Actions. Knowledge of Git and common branching strategies. Experience with cloud environments (Azure, AWS or GCP) and containerised systems (Docker or Kubernetes) is desirable. Good understanding of Atlassian Datacentre tooling. Strong analytical and problem-solving ability, with high attention ...

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 ...

application platform development, web and mobile development, cloud, integration, security, etc. " Application dev experience with at least one of the cloud providers - Amazon AWS or MS Azure " Understanding of distributed computing paradigm and exposure to building highly scalable systems. " Experience with platform modernization and cloud migration projects " Expertise in Agile ...

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 ...

maintainability and code quality. Experience working in agile, cross-functional teams and contributing to delivery planning and estimation. Experience with cloud platforms such as AWS, Azure or GCP, CI/CD pipelines or DevOps practices would be beneficial. Exposure to NoSQL databases, microservices or event-driven architectures would be desirable. ...

confident programming in Python and SQL You have experience with Kubernetes and Docker You have hands-on experience using cloud services (such as Azure, AWS or GCP) to design & build ML products, pipelines and platforms You're able to design simple solutions that solve complex business problems You understand ...

relationship-building skills; able to work effectively with diverse teams and stakeholders. Strong analytical, problem-solving, and decision-making skills. Familiarity with cloud platforms (AWS, Azure, GCP) and modern architecture patterns (microservices, APIs, event-driven). Experience with Agile methodologies and DevOps practices. Who we are: At NTT DATA ...

Kubernetes, Helm, ArgoCD).Experience of Linux-based infrastructure build, provisioning, and maintenance.Good knowledge of Cloud services. Experience of at least one of the following: AWS (preferred), Azure, Google Cloud Platform.Demonstrable experience in Infrastructure as code technologies such as Terraform, Ansible, Puppet.Preferred Skills and Experience:Experience working in a Platform Engineering ...

GitLab CI, or other CI/CD tools for automated testing and deployment. Understanding of testing microservices-based applications. Familiarity with cloud platforms (e.g., AWS, Azure).Understanding of Accessibility testing. Note: We are seeking candidates who have held Security Clereance in the past or hold and active SC status. BenefitsWhat ...

Required experience Core Software Engineering such as: JavaScript frameworks (React, NextJS), TypeScript, Python or Java REST API development/OpenAPI/Swagger Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Unit testing and automation/Testing ...

Required experience Core Software Engineering such as: JavaScript frameworks (React, NextJS), TypeScript, Python or Java REST API development/OpenAPI/Swagger Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Unit testing and automation/Testing ...

including platforms such as OpenAI, Anthropic, Mistral, Llama, or similar. Familiarity with tools that support local or hosted model deployment. Cloud & Infrastructure Proficiency in AWS or Azure for application hosting and deployment. Hands-on experience with Docker, Kubernetes and Docker Compose. Exposure to Infrastructure as Code tools such as Terraform. ...

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 ...

accelerate software solution development in production environments. Hands-on experience with modern AI infrastructure, including vector databases (e.g., Pinecone, Weaviate, Qdrant), cloud platforms (Azure, AWS, or GCP), API design, and containerized deployment (Docker, Kubernetes). Experience designing data pipelines and document processing systems for unstructured content at scale (parsing ...

logs across observability platforms (e.g., New Relic, OpenSearch/Kibana, Coralogix). Cloud & Delivery: Familiarity with containerised, distributed cloud environments (e.g., Docker, Kubernetes, AWS), Infrastructure as Code (Terraform), and CI/CD pipelines (e.g., GitHub Actions, Jenkins), alongside solid version control (Git). Growth, leadership & collaboration Rapid Learning: A proven ...

week onsite) | £70,000 - £75,000 + Benefits This is a rare opportunity for a Senior Cloud Engineer to shape and lead AWS capability within a growing technology and consultancy environment. You'll join at an exciting stage, taking ownership of a greenfield AWS platform while helping to evolve … built around giving engineers the autonomy to make a visible impact. As they expand their multi-cloud capabilities, they are looking for an AWS specialist to play a key role in shaping future platforms and standards. The Role You will be the AWS subject matter expert, responsible for building ...

Agile delivery teams Desirable Azure AI Services Azure OpenAI Agentic AI frameworks Azure Container Apps Azure Kubernetes Service (AKS) Infrastructure as Code Experience with AWS cloud platforms Exposure to enterprise-scale AI transformation programmes What You'll Be Working On AI-powered enterprise applications Agentic AI and intelligent workflow solutions ...

communication skills when engaging with technical and non-technical stakeholders.Desirable skills and experience:- Experience developing or deploying solutions within cloud environments, particularly Microsoft Azure, AWS or Google Cloud.- Exposure to CI/CD pipelines, automation and DevOps engineering practices.- Experience working within regulated, security-conscious or enterprise environments.- Understanding ...

GitLab CI, or other CI/CD tools for automated testing and deployment. Understanding of testing microservices-based applications. Familiarity with cloud platforms (e.g., AWS, Azure).Understanding of Accessibility testing. BenefitsWhat We Offer: Competitive SalaryBonus SchemePrivate Healthcare Insurance25 Days Annual Leave + Bank HolidaysUp to 10 days allocated for development ...

embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying ...

Required experience Core Software Engineering such as: JavaScript frameworks (React, NextJS), TypeScript, Python or Java REST API development/OpenAPI/Swagger Cloud services (AWS or Azure) Containerisation & Orchestration (Docker, Kubernetes, OpenShift) Infrastructure as Code (Terraform, Ansible) Relational Databases (e.g. PostgreSQL) Elasticsearch/Opensearch Unit testing and automation/Testing ...