1 to 25 of 876 Amazon ECS Jobs in the UK

documentation to improve visibility and maintainability Troubleshoot and optimise cloud services, ensuring high availability and scalability Tech Stack Cloud & Infrastructure: AWS Infrastructure as Code: Terraform, Ansible Containerisation & Orchestration: Docker, ECS CI/CD: GitHub Actions Monitoring & Logging: Datadog, AWS CloudWatch Qualifications 5+ years of experience in a DevOps, SRE, or Cloud Engineer role Hands-on experience with AWS services … EC2, ECS, ECR, S3, RDS, Lambda, IAM, etc.) Exposure to Kubernetes and container orchestration Strong knowledge of Terraform for infrastructure automation Experience managing CI/CD pipelines with GitHub Actions Scripting skills (Bash or Python) for automation Familiarity with monitoring and logging tools (Datadog, CloudWatch) Ability to troubleshoot networking, performance, and deployment issues Strong documentation skills for infra diagrams More ❯

cloud or hybrid cloud architectures. Tech Stack: Cloud: AWS, OCI ZTN: Cloudflare Application: Kong (API Gateway), Java Spring Boot, Python, Go, TypeScript Monitoring: Prometheus Stack (Prometheus, Grafana, Loki) Compute: ECS, EC2, Lambda Frontend: S3, CloudFront Data: Glue, S3, PostgreSQL CI/CD: GitHub Actions IaC: Terraform, AWS SAM Why Join Us? At Intelmatix, you’ll work on impactful technology More ❯

like Jest, Playwright, Mocha, Cypress to ensure high-quality application reliability and robustness Experience with containerisation tools and orchestration platforms, such as AWS Kubernetes Service (EKS), Elastic Container Service (ECS) Understanding of monitoring, security & compliance , using CloudTrail, CloudWatch, New Relic Experience in planning and implementing cloud disaster recovery strategies Strong troubleshooting skills for complex hybrid cloud platform issues. Strong More ❯

APIs using Python (e.g., FastAPI, Django, Flask) Integrate frontend and backend components to deliver seamless user and data experiences Manage cloud infrastructure and deployments using AWS services (e.g., EC2, ECS/EKS, Lambda, S3, RDS, IAM) Set up and maintain CI/CD pipelines, infrastructure-as-code (e.g., Terraform, CloudFormation) Collaborate with product managers, designers, and other engineers to More ❯

looking for: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language … you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery More ❯

looking for: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language … you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery More ❯

looking for: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language … you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery More ❯

Essential Experience (7 years minimum, prioritised): Proven CI/CD pipeline development and management experience (GitHub Actions, Jenkins) Infrastructure-as-Code experience (Terraform) Containerisation and orchestration expertise (Docker, Kubernetes, ECS) Strong hands-on AWS infrastructure experience, including: IAM ECS EC2 AWS Lambda API Gateway VPC/VPN Route 53 AWS Organisations S3 (Storage Tiers, Lifecycles) CloudFront distribution Experience More ❯

APIs using Python (e.g., FastAPI, Django, Flask) Integrate frontend and backend components to deliver seamless user and data experiences Manage cloud infrastructure and deployments using AWS services (e.g., EC2, ECS/EKS, Lambda, S3, RDS, IAM) Set up and maintain CI/CD pipelines, infrastructure-as-code (e.g., Terraform, CloudFormation) Collaborate with product managers, designers, and other engineers to More ❯

APIs using Python (e.g., FastAPI, Django, Flask) Integrate frontend and backend components to deliver seamless user and data experiences Manage cloud infrastructure and deployments using AWS services (e.g., EC2, ECS/EKS, Lambda, S3, RDS, IAM) Set up and maintain CI/CD pipelines, infrastructure-as-code (e.g., Terraform, CloudFormation) Collaborate with product managers, designers, and other engineers to More ❯

maintain and monitor configuration standards. Maintain day-to-day management and administration of projects. Manage our Continuous Deployment pipeline. Document and design various processes; update existing processes. Technologies EC2, ECS, RDS, S3, Cloudfront, WAF, API Gateway, Lambda, Elasticache, Elasticsearch, SQS, SNS, EKS CI/CD (Jenkins, Github, Python) Infrastructure as Code (Terraform, Ansible, Packer, Hashicorp Vault) Messaging/Data More ❯

tools like AWS CodePipeline, GitHub Actions, GitLab CI, or Jenkins. * Automate deployment, scaling, and monitoring of cloud applications and services. * Implement and manage containerised workloads using Amazon ECS, EKS, or Fargate. * Configure and manage observability stacks including CloudWatch, Prometheus, * Support and execute cloud migration projects following the AWS Migration Acceleration Program (MAP) methodology-covering the Assess, Mobilise … or CloudFormation. * Experience with CI/CD tools and creating automated deployment pipelines. * Strong scripting skills (Python, or similar). * Hands-on experience with Docker and container orchestration (EKS, ECS, or * Familiarity with monitoring, alerting, and logging tools. * Solid understanding of networking, security, and system administration * AWS certifications (e.g., AWS Certified DevOps Engineer, Solutions Architect Associate/Professional) are More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker , Bedrock Implement Infrastructure-as-Code with AWS CDK , CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions , AWS CodePipeline , CodeBuild … for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation . Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines . Proven experience More ❯

looking for: Plenty of experience in AWS and experience in solving complex business issues; Regarded as an AWS subject matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language … you with them AWS Certification at Associate level eg Solution Architect, Developer or DevOps Expertise in microservices and API design Docker, and container runtime platforms such as Kubernetes, EKS, ECS etc Strong understand of operational concepts on AWS, particularly monitoring and observability, FinOps UtilisingCI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising More ❯

maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK, CloudFormation to provision and manage cloud environments. Build and maintain CI/CD pipelines using GitHub Actions, AWS CodePipeline, CodeBuild … for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising More ❯

scalability across all cloud services. Collaborate in Agile teams using Scrum and Jira , and participate in an on-call support rota. 🧠 What You Bring: Deep expertise in AWS (EC2, ECS, Lambda, S3, RDS, IAM, VPC, etc.). Proficiency in Infrastructure as Code (Terraform, CloudFormation). Strong programming skills in .NET , Angular/TypeScript , Python , and JavaScript . A proactive More ❯

organization using Rapid7 products and automated tooling. The skills you'll bring include: Proven experience working with SaaS services and infrastructure. Proficient in AWS services, including EC2, EKS or ECS, IAM, VPC networking, S3. Networking and Linux system administration skills. Comfortable with one or more of the following languages: Python, Ruby, Javascript, Java, Bash. Working knowledge with one or More ❯

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving … to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most … experience with revision control source code repositories (Git, SVN, Mercurial, Perforce). - Containerize applications using Docker, and manage container orchestration platforms like Kubernetes (EKS) or AWS Elastic Container Service (ECS) or Argo CD. PREFERRED QUALIFICATIONS - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications More ❯

with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As a DevOps Consultant you will assist customers to launch generative AI workloads on AWS, design and implement distributed model training pipelines or deploy … to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most … the cloud. BASIC QUALIFICATIONS - Automating real-world production environments with Infrastructure-as-Code (IaC) tools like CloudFormation, CDK, or Terraform, containerization & orchestration (Docker, Kubernetes) and cloud container services (EKS, ECS, Fargate), IP networking, VPNs, DNS, load balancing, and firewalls. - Continuous integration/delivery (CI/CD) and corresponding tools (i.e., AWS Code-family, ArgoCD, Jenkins, Bamboo, TeamCity, GitHub actions More ❯

Python, Go, Java, or C#, along with scripting skills in Bash or PowerShell Solid grasp of cloud platforms like AWS, including an understanding of how core services like EC2, ECS, Lambda, and DynamoDB operate under reliability constraints Practical experience using infrastructure-as-code tools like CloudFormation or Terraform In-depth knowledge of CI/CD principles and hands-on More ❯

Python, Go, Java, or C#, along with scripting skills in Bash or PowerShell Solid grasp of cloud platforms like AWS, including an understanding of how core services like EC2, ECS, Lambda, and DynamoDB operate under reliability constraints Practical experience using infrastructure-as-code tools like CloudFormation or Terraform In-depth knowledge of CI/CD principles and hands-on More ❯