1 to 25 of 709 Permanent AWS Jobs in London

Central London.- Experience in a cloud Engineering/cloud support role. CLOUD ENGINEER ESSENTIAL SKILLS- Minimum 2 years of hands-on experience with AWS- Strong understanding of AWS cloud infrastructure and related services- Ability to deploy and manage infrastructure using both Terraform and Ansible TO BE CONSIDERED:Please either apply … process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLSCLOUD ENGINEER, AWS, AWS CLOUD, AWS ENGINEER, ANSIBLE, TERRAFORM, CLOUD SUPPORT, CLOUD INFRASTRUCTURE, DEFENCE, NATIONAL SECURITY, DV CLEARED, DV CLEARANCE, SECURITY CLEARED ...

ability to travel to London.- Experience as in a cloud infrastructure/cloud support role. PLATFORM ENGINEER ESSENTIAL SKILLS- Strong experience with cloud technologies (AWS, Azure, GCP)- Infrastructure as Code e.g. Terraform - Experience building and maintaining CI/CD pipelines using tools such as GitLab or Jenkins- Experience with containerisation … process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLSPLATFROM ENGINEER, PLATFROM, CLOUD, AWS, AWS CLOUD, AWS ENGINEER, ANSIBLE, TERRAFORM, CLOUD SUPPORT, CLOUD INFRASTRUCTURE, DEFENCE, NATIONAL SECURITY, DV CLEARED, DV CLEARANCE, SECURITY CLEARED ...

AWS Cloud Engineer - (AWS Certified - Essential) London - Remote Up to £85,000/£90,000 We're hiring an AWS Cloud Engineer to help design and scale secure, automated cloud infrastructure for a fast-growing AI platform. Essential certification (one required): AWS Certified Solutions Architect - Professional AWS Certified DevOps Engineer … Professional What you'll do: Build and operate scalable AWS infrastructure Develop Infrastructure as Code using AWS CDK (Python/TypeScript) and Terraform Create and maintain CI/CD pipelines (GitHub Actions) Automate deployments, monitoring, and operations Collaborate with engineering teams to support production systems What we're looking ...

Build and maintain microservices using Java (Spring Boot) . Develop front-end applications with React, TypeScript , HTML, and CSS. Work with cloud platforms ( AWS, Azure ) and containerization tools ( Docker, Kubernetes ). Implement CI/CD pipelines using GitHub, GitLab, or Jenkins. Collaborate in agile teams and contribute to architecture decisions. ...

solutions using React, TypeScript , and modern frameworks like Next.js . Integrate LLMs (OpenAI, Anthropic, Mistral) and vector databases (ChromaDB, Pinecone). Deploy solutions on AWS/Azure using Docker, Kubernetes, and Terraform. Implement CI/CD pipelines and monitor LLM performance with tools like Langsmith . Collaborate in agile teams ...

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 ...

AWS Platform Engineer | AWS, Terraform & Kubernetes | High-Impact Cloud Consulting Salary: £75,000–£100,000, depending on Senior or Principal level Location: Hybrid working – minimum 1 day per month in the London office Requirement: UK Security Clearance eligibility required Permanent, full-time position We’re hiring Senior and Principal AWS … enterprise and public sector clients. This is a hands-on consulting role , not a support or BAU position. You’ll design and build modern AWS platforms, work directly with client engineering teams, and rotate across varied projects every few months. Alongside AWS, the wider business is scaling across Azure, data ...

Expertise Essential: Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP. Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures. Bachelors or Masters degree ...

Java, Spring Boot, Python , and microservices (additional languagaes are a benefit). Strong knowledge of Agile , TDD , and DevOps methodologies. Proficiency with cloud platforms (AWS, Azure, or GCP) and Infrastructure as Code. Experience with CI/CD, containerization (Docker, Kubernetes), and automated testing. Proven ability to lead and inspire engineering ...

experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like ...

experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like ...

Some proficiency in one or more programming languages (e.g., .NET, Python, JavaScript) and experience with software architecture patterns. 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 ...

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 ...

pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases. Infrastructure & cloud : Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI ...

experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like ...

experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like ...

experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like ...

development and software architecture. Hands-on expertise with Java, Spring Boot , and microservices. Strong understanding of Agile and DevOps practices. Familiarity with cloud platforms (AWS, Azure, GCP) and Infrastructure as Code. Experience with CI/CD, containerisation (Docker, Kubernetes), and automated testing. Excellent communication and stakeholder engagement skills. Desirable: Experience ...

experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like ...

experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like ...

experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like ...

Senior Golang Developer - Kubernetes - Financial Services Excellent opportunity opens for an experienced Developer strong on Golang with experience in AWS and Kubernetes to join a highly regarded Financial Services entity's London office. You will act as the team lead and play a key role in building mission-critical financial … support financial applications and services , including trading platforms, investment systems, and risk management tools. Build and deploy cloud-based solutions using Amazon Web Services (AWS), including services such as EC2, S3, RDS, DynamoDB, and Lambda to create scalable, reliable, and secure infrastructure. Implement and manage containerized applications using Kubernetes, ensuring ...

enabled code tooling: Cursor, Windsurf, GitHub copilot • AI powered platform development: Lovable, Replit, Bolt • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines • Data Integration: Products integrating ML/AI models, databases, BI tools • UI/UX Awareness: Collaborate on interfaces ...

enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines Data Integration: Products integrating ML/AI models, databases, BI tools UI/UX Awareness: Collaborate on interfaces ...

JavaScript/TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. ...