626 to 650 of 4,353 AWS Jobs in the UK

ability to explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. ...

ability to explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. ...

ability to explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. ...

ability to explain technical concepts clearly and build effective relationships with a range of stakeholders. Experience of working with cloud platforms such as AWS, Azure or Google Cloud, applying modern DevOps and SRE practices. Experience designing and delivering infrastructure-as-code solutions using tools such as Terraform, CloudFormation or similar. ...

that underpin the delivery and performance of the wider commercial technology landscape. The successful candidate will work across a diverse technology environment, including Azure, AWS, Microsoft Fabric, Power BI, Infor ERP, Infor Revenue Management, Infor Product Management, Bynder, and associated integrations. They will be responsible for maintaining cloud infrastructure, supporting ...

services for deployment, operation and monitoring of containerised products Build new infrastructure (not just maintain existing environments) Work in public/private cloud, primarily AWS Support Agile delivery (Scrum/Kanban), mentor junior team members, manage customer relationships What we're looking for Strong AWS experience essential (AWS-focused ...

every time. The technology we use is modern, scalable and constantly evolving, whether we’re in the cloud deploying over 1,000 microservices into AWS, Azure and GCP, or streaming billions of messages on Kafka and building event-based solutions. This is where you can broaden your technical knowledge … code, observability, performance, security, incident response and DevSecOps. Experience with cloud data services and modern data stacks. Relevant technologies may include Snowflake, Azure/AWS/GCP data services, Kafka, orchestration tooling, SQL, Python, dbt or equivalent transformation frameworks. Strong knowledge of data modelling, data quality, metadata/catalogue, reconciliation ...

Technical Requirements***** Legacy Modernization & Strategy: Expertise in bridging legacy monoliths (.NET 4.6.2, WebForms, jQuery) with modern architecture (C# .NET 8, Micro-frontends, Microservices on AWS EKS).* Full-Stack Platform Management: Ability to lead diverse development streams across Web (React, WebForms), Mobile (iOS/Swift, Android/Kotlin, Kotlin Multiplatform … Backend systems.* Cloud & DevOps Leadership: Proven experience managing cloud infrastructure (AWS EC2, EKS) and robust CI/CD pipelines using Azure DevOps.* Data Architecture: Proficiency in overseeing multi-model data environments, including relational (MS SQL, PG SQL) and NoSQL (MongoDB) databases, alongside data integration pipelines (Snowflake, FiveTran).* Observability & Security ...

personal challenges.Technical RequirementsLegacy Modernization & Strategy: Expertise in bridging legacy monoliths (.NET 4.6.2, WebForms, jQuery) with modern architecture (C# .NET 8, Micro-frontends, Microservices on AWS EKS).Full-Stack Platform Management: Ability to lead diverse development streams across Web (React, WebForms), Mobile (iOS/Swift, Android/Kotlin, Kotlin Multiplatform … Backend systems.Cloud & DevOps Leadership: Proven experience managing cloud infrastructure (AWS EC2, EKS) and robust CI/CD pipelines using Azure DevOps.Data Architecture: Proficiency in overseeing multi-model data environments, including relational (MS SQL, PG SQL) and NoSQL (MongoDB) databases, alongside data integration pipelines (Snowflake, FiveTran).Observability & Security Integration: A proactive ...

focuses on creating high‐quality, cloud‐native applications that enable personalised client journeys across devices and channels. What You’ll Do Build and run AWS Cloud‐native applications with TypeScript, Node.js and React. Develop infrastructure as code using Terraform and AWS services. Implement automated tests for mandatory changes. Write high … coach peers. What We’re Looking For Experience developing and maintaining client and server‐side applications. Experience building infrastructure as code and working with AWS or similar. Strong debugging, root‐cause analysis and resolution of production issues. Familiarity with unit, integration and end‐to‐end testing tools (e.g. Jest, Playwright ...

patterns: microservices, event‐driven and streaming architectures, API‐led connectivity, data mesh/lakehouse, CQRS, and domain‐driven design Experience with hyperscale cloud platforms (AWS/Azure/GCP), container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real‐time streaming (Kafka/… portfolios Bachelor’s/Master’s in Computer Science, Engineering, or related field (or equivalent experience) Preferred qualifications, capabilities, and skills Relevant certifications (e.g., AWS/Azure/GCP Architect, TOGAF, CISSP, SAFe) Experience in global financial services and regulated environments Hands‐on pragmatism; able to review designs and code ...

separate tracks* Extensive on-field experience implementing or supporting CX, CRM, or AI orchestration platforms (e.g., Genesys Cloud, Google CCAI, Salesforce, Microsoft, NICE CXone, AWS Connect, ServiceNow, or similar)* Hands-on experience with agentic AI systems: building, evaluating, or operating LLM-powered agents in production contexts* Demonstrated experience working with … APIs, data pipelines, and modern cloud environments (AWS, Azure, GCP)* Track record of mentoring or developing technical peers and codifying expertise into approaches others can build on **Consultative & Customer-Facing Skills*** Proven autonomy inside complex enterprise accounts — leading discovery, shaping scope, managing stakeholder expectations, and building trust without hand-holding ...

Technical Requirements Legacy Modernization & Strategy: Expertise in bridging legacy monoliths (.NET 4.6.2, WebForms, jQuery) with modern architecture (C# .NET 8, Micro-frontends, Microservices on AWS EKS). Full-Stack Platform Management: Ability to lead diverse development streams across Web (React, WebForms), Mobile (iOS/Swift, Android/Kotlin, Kotlin Multiplatform … Backend systems. Cloud & DevOps Leadership: Proven experience managing cloud infrastructure (AWS EC2, EKS) and robust CI/CD pipelines using Azure DevOps. Data Architecture: Proficiency in overseeing multi-model data environments, including relational (MS SQL, PG SQL) and NoSQL (MongoDB) databases, alongside data integration pipelines (Snowflake, FiveTran). Observability & Security ...

with monitoring & observability tools (Prometheus, Grafana, ELK, or similar). Strong Git/version control experience. Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on‐premise). Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering ...

science Python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud providers (Azure, AWS, GCP) Ability to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders. Preferred qualifications, capabilities, and skills Experience ...

have experience working with: Central government transformation projects, ideally with GDS experience. Java backend development with microservices. Spring framework (Spring Boot) based web applications. AWS and/or Kubernetes. CI/CD mindset and an agile approach. A consultative approach to problem solving and solution building. You'll enjoy taking ...

The Role As a Senior Software Engineer, you will be responsible for architecting, implementing and deploying software services from end to end. You'll produce clean, scalable, and reusable code to build products which will ...

Exchange Online, Outlook, Office, OneDrive, SharePoint Online, Microsoft Power Platform, Azure, Scripting, Active Directory, Archiving Services). Strong experience managing cloud environments (Azure, AWS, GCP), including security groups, resource groups, load balancers, storage, backup & recovery, and networking. Experience configuring Azure resources such as Virtual WAN, Application Gateway, Route Tables ...

GitHub Actions) and GitOps (for example, ArgoCD). Hands‐on experience building scalable, reusable infrastructure on a major cloud platform (GCP or AWS). Experience deploying to on‐prem environments is a bonus. Proficiency with Kubernetes , from building and operating services to managing cloud‐vendored clusters. A production mindset, with ...

mentoring, knowledge sharing and helping teams succeed. Additional skills and experience It would be great if you already have: - Cloud platform experience (Azure, AWS or GCP). Docker and Kubernetes exposure. Microservices and distributed systems experience. Knowledge of payment, loyalty or e-commerce platforms. Experience with technical leadership or team ...

building AI agent frameworks or autonomous orchestration platforms Knowledge of vector databases, semantic search, and advanced RAG architectures Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads Familiarity with financial services, banking, or regulated enterprise environments Exposure to AI governance, model monitoring, and responsible AI practices ...

Python OpenAI, Anthropic, Gemini, Llama or similar LLMs LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen or equivalent frameworks RAG, vector databases and embeddings Azure AI, AWS AI or Google Vertex AI MLOps, CI/CD and cloud-native deployment Docker, Kubernetes and modern software engineering practices What we're looking ...

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...

GitOps workflows. AI & Agentic Infrastructure: Implement the data pipelines, workflow orchestrations, and specialised compute footprints needed to support enterprise AI applications, using technologies like AWS Bedrock and AWS AgentCore. Observability & Reliability: Build robust monitoring and observability pipelines to ensure the health, performance, and security of distributed cloud applications … orchestration, connecting enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application ...