26 to 50 of 2,094 AWS Jobs in the UK

Technology and GovernancePPM Tools (ex: Clarity, JIRA, Asana)Preferred Skills and Experience Hands-On experience of working on Windows/Linux Servers. Cloud services (AWS/Azure/GCP). Managing incidents, change requests, service requests and driving TRT (Technical Recovery Team) calls. Strong problem solving skills on these platforms ...

Agile and DevOps practices, with a focus on continuous integration and delivery. Comfortable working as a polyglot Experience with cloud platforms (e.g. Azure, AWS, GCP) and infrastructure as code (Terraform). Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices ...

Role Title: Senior AWS Platform Engineer (LZA & Networking Specialism) Duration: contract to run until 31/03/2027 Location: Hybrid working. Onsite once every 2 months either in London/Manchester Rate: up to £565.80 p/d Umbrella inside IR35 Clearance required: Active SC Clearance held with … government agency Role purpose/summary We are seeking a highly skilled Platform Engineer with deep expertise in AWS Landing Zone Accelerator (LZA) and network architecture. This role will focus on designing, implementing, and maintaining secure, scalable, and compliant cloud environments that form the foundation of our enterprise platform strategy. ...

Role Title: Senior AWS Platform Engineer (LZA & Networking Specialism) Duration: contract to run until 31/03/2027 Location: Hybrid working. Onsite once every 2 months either in London/Manchester Rate: up to £565.80 p/d Umbrella inside IR35 Clearance required: Active SC Clearance held with … government agency Role purpose/summary We are seeking a highly skilled Platform Engineer with deep expertise in AWS Landing Zone Accelerator (LZA) and network architecture. This role will focus on designing, implementing, and maintaining secure, scalable, and compliant cloud environments that form the foundation of our enterprise platform strategy. ...

idioms and coroutines where applicable. Experience in Microservices design and architecture, including RESTful API services and Kotlin-based microservice patterns. Expertise in public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes).In-depth knowledge of Infrastructure as Code tools such as CloudFormation or Terraform. Proficient ...

idioms and coroutines where applicable. Experience in Microservices design and architecture, including RESTful API services and Kotlin-based microservice patterns. Expertise in public cloud (AWS, Azure, or GCP) and DevOps practices, including containerisation (Docker, Kubernetes).In-depth knowledge of Infrastructure as Code tools such as CloudFormation or Terraform. Proficient ...

delivery. Some proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices ...

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 ...

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 ...

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex … ambitious opportunities with conviction, and we are looking for builders who share that mindset. The AWS Security Assurance Services team, a part of Amazon Web Services, leverages the expertise and ingenuity of our builders to establish scalable security solutions for both internal and external customers that drive business outcomes. ...

GitLab , and the Atlassian Suite . Strong problem-solving skills with the ability to design and implement scalable technical solutions. Desirable Experience working within AWS, Azure, or other cloud-native environments. Knowledge of containerisation and orchestration technologies such as Docker and Kubernetes. Experience supporting highly regulated industries such as Defence ...

designing and operating continuous integration and deployment pipelines (e.g., Azure DevOps, GitHub Actions, Jenkins). Cloud & IaC: Strong proficiency with major cloud platforms (AWS, Azure, or GCP) alongside IaC tools like Terraform, Bicep, or Ansible. Scripting & Programming: Solid hands-on coding or scripting ability in Python, Go, Bash, JavaScript ...

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

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

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

computer vision, data platforms, and big data technologies. Experience with cloud-native development, microservices, container orchestration (Kubernetes, Docker).Proficiency with cloud platforms: Azure, AWS, GCP.Familiarity with DevOps practices including CI/CD, Infrastructure as Code (Terraform, Ansible), monitoring, and logging. Exposure to agentic architectures, multi-agent orchestration, or cognitive harness ...

lifecycle)Strong Python programming skills, including unit and integration testingHands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure)Experience with large-scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift ...

REST APIs, distributed systems, and event-driven architectures. Experience with relational databases such as PostgreSQL, MySQL, or Oracle. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Familiarity with containerisation technologies including Docker and Kubernetes. Experience with CI/CD tools and automated testing frameworks. Strong knowledge ...

matching, reconciliation, and entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform or Kubernetes Experience ...

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. ...

understanding of software development methodologies such as Agile, TDD, and DevOps. Extensive experience writing well-tested code. Good knowledge of cloud platforms(e.g. Azure, AWS, GCP) and infrastructure as code(Terraform) Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns, e.g. microservices and event ...

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 ...

This position can be based in Dublin or London. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. The AWS Cloud infrastructure is built around Regions and Availability Zones … . AWS Regions provide multiple, physically separated and isolated Availability Zones which are connected with low latency, high throughput, and highly redundant networking. These Availability Zones offer AWS customers an easier and more effective way to design and operate applications and databases, making them more highly available, fault tolerant ...

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 ...