26 to 50 of 2,697 AWS Jobs in the UK

Data Engineer in enterprise or government environments. Proficiency in SQL and Python for data engineering tasks. Experience with cloud platforms such as: AWS, Azure, Google Cloud Platform (GCP) Hands-on experience with data technologies such as: Apache Spark, Databricks, Kafka, Airflow, Snowflake, Hadoop ecosystems Experience designing and maintaining data warehouses ...

/Node.js or a strong willingness to work with and learn modern TypeScript technologies Experience working with cloud platforms such as Google Cloud Platform, AWS, or Azure Strong understanding of software architecture, engineering best practices, and scalable system design Comfortable working autonomously and taking ownership in a fast-moving environment ...

Python programming skills, including unit and integration testing \n Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) \n Experience with large-scale distributed data processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse ...

Python programming skills, including unit and integration testing \n Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) \n Experience with large-scale distributed data processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse ...

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 ...

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.\ NFor us, DevOps is about culture rather than roles and titles. ...

technical decision-making Adaptability and willingness to learn in a fast-paced, evolving environment Desirable and developing skills: Experience with cloud platforms such as AWS or Azure Familiarity with container orchestration tools like Kubernetes Understanding of Agile methodologies and DevSecOps practices Knowledge of web security principles and best practices Exposure ...

JavaScript frameworks (React, NextJS) \n TypeScript \n Python \n Java \n REST API development \n OpenAPI/Swagger \n Cloud & Infrastructure \n Cloud services (AWS or Azure) \n Containerisation & Orchestration (Docker, Kubernetes, OpenShift) \n Infrastructure as Code (Terraform, Ansible) \n Data & Search Technologies \n Relational Databases (e.g. PostgreSQL) \n Elasticsearch ...

production with a focus on evaluation, safety, monitoring. Strong background in distributed systems, microservices, SQL/NoSQL, and DevSecOps. Experience with cloud platforms (AWS, GCP, Azure) and tooling (Docker, Kubernetes, Terraform, Helm). Familiarity with frameworks such as Spring (AI/Boot/Core), Flask, LangChain, LangGraph, ADK, MLFlow ...

such as Jenkins, GitHub Actions, or GitLab CI. Experience working in Agile delivery teams. Strong problem-solving and communication skills. Desirable Skills Experience with AWS cloud services. Knowledge of Docker and Kubernetes. Experience with Kafka or other messaging technologies. Familiarity with Terraform or Infrastructure as Code. Experience using Maven ...

experience in a DevOps role. Proven experience with Azure cloud-based infrastructure design and management. Preferred Skills & Qualifications: Knowledge of other cloud platforms like AWS or GCP. Experience with configuration management tools like Ansible or Chef. Familiarity with logging and monitoring tools in Azure. Some experience in Software Development within ...

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 ...

containerized development. Understanding of CI/CD pipelines (GitHub Actions, Jenkins, GitLab CI, Azure DevOps, etc.). Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with Linux environments and application deployment. Understanding of secure coding practices and application security. Desirable Skills Experience with GraphQL. Knowledge ...

workflows. Agile/Scrum delivery environments. CI/CD pipelines and modern software engineering practices. Desirable experience includes: Next.js. Node.js. Cloud platforms such as AWS or Azure. Docker and Kubernetes. Government Digital Service (GDS) standards. Accessibility (WCAG) best practices. Security Clearance Due to the nature of the projects, active ...

following skills: A few years of industry experience in one of following: Java, Typescript, Python, Go, C#. Experience with Cloud Native technologies (AWS, Azure or GCP) Hands-on experience in scripting languages such as Python, Shell, and other scripting languages to support DevOps and Quality Engineering work. Build automation tools ...

Experience Experience with Salesforce including Apex and LWC. Native mobile development experience using Kotlin (Android) or Swift (iOS). Experience with cloud platforms (e.g., AWS, Azure, GCP). Familiarity with containerisation and orchestration (Docker, Kubernetes). Knowledge of microservices architecture and distributed systems. Experience with relational and/or NoSQL ...

NStrong Python programming skills, including unit and integration testing\ NHands-on experience building and operating cloud-based data platforms using major cloud services (e.G., AWS, Google Cloud, or Azure)\ NExperience with large-scale distributed data processing and performance tuning\ NHands-on experience with modern data warehousing/lakehouse technologies (e.G. ...

patterns and API design principles DevOps & Cloud Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) Familiarity with cloud platforms (Azure/AWS/GCP) Exposure to containerisation (Docker) and orchestration (Kubernetes) Engineering Practices Strong grounding in clean code principles and design patterns (SOLID, DRY) Experience with test ...

troubleshooting What we're looking for Strong commercial full stack software engineering experience React and/or Next.js experience Node.js and TypeScript experience AWS cloud-native development experience REST APIs and microservices architecture CI/CD and modern software delivery practices Automated testing experience Experience delivering cloud-native digital products ...

Software Engineering\ NJavaScript frameworks(React, NextJS)\ N TypeScript\n Python\ N Java\n REST API development\ N OpenAPI/Swagger\nCloud & Infrastructure\ NCloud services (AWS or Azure)\ N Containerisation & Orchestration (Docker, Kubernetes, OpenShift)\ N Infrastructure as Code (Terraform, Ansible)\ NData & Search Technologies\ NRelational Databases (e.G. PostgreSQL)\ N Elasticsearch/Opensearch ...

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. ...

production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. \n Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. \n Working knowledge of containerization technologies (e.g., Docker ...

production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. \n Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. \n Working knowledge of containerization technologies (e.g., Docker ...

production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. \n Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. \n Working knowledge of containerization technologies (e.g., Docker ...

production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. \n Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. \n Working knowledge of containerization technologies (e.g., Docker ...