1 to 25 of 477 Amazon ECS Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

updates Essential Skills Java (8/11/17), Spring Boot - experienced in J2EE development Apache Camel (routing, processors, EIP patterns) - hands on enterprise integration AWS (EC2, S3, Lambda, ECS/EKS, API Gateway, SQS/SNS, RDS, DynamoDB) RESTful APIs, event-driven architecture, JSON based communication CI/CD tools (Jenkins, GitHub Actions, GitLab CI) Docker, Kubernetes (EKS 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 ❯

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 ❯

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 ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design … demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design … demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design … demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design … demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record More ❯

Science, MLOps, and LLMOps workflows across the organisation. Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services. Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments. Design … demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments. Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture. Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments. Proven track record More ❯

project until the end of September. - Inside IR35 - Travel into Newcastle required - Active SC currently being used - Mentorship experience Essentials - AWS: EC2 management, load balancing & networking; Serverless/lambda; ECS/EKS (containers) - IaC: Terraform; Serverless frameworks - Config mgt: Ansible; Packer; Dependency/package management; AMI/RPM - Pipelines: Gitlab CICD; Jenkins; SonarQube; Nexus - Coding/scripting: Python; Bash More ❯

and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend testing workflows, ensuring robust and reliable system interactions. More ❯

and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding of cloud-native architectures and best practices. Advanced skills in automating API and backend testing workflows, ensuring robust and reliable system interactions. More ❯

. Extensive experience with AWS cloud ecosystem – services like EC2, S3, Lambda, SNS/SQS, API Gateway, RDS/DynamoDB, CloudFormation, etc. Familiarity with containerization and orchestration (Docker, Kubernetes, ECS/EKS). Strong system design and problem-solving skills. Proficiency in CI/CD tools and DevOps practices. Strong communication and stakeholder management skills. Experience in leading technical More ❯

and compliance audits. Design, implement, and manage various DevOps tools and technologies, including CI/CD platforms (Jenkins, GitLab CI), configuration management tools (Ansible, Puppet), and containerization technologies (Docker, ECS, Kubernetes). Monitor system performance, identify bottlenecks, and implement optimizations to improve reliability and efficiency. Develop and maintain Infrastructure as Code (IaC) using Terraform, Ansible, AWS CloudFormation, ensuring consistency … frameworks, optimizing CI/CD pipelines, IaC standards, security policies, and guiding DevOps engineers in modern cloud strategies. Serverless Security & Architecture: Design and implement secure AWS Serverless solutions using ECS Fargate, Lambda, SNS, SQS, API Gateway, enforcing IAM execution roles, API authentication, encrypted messaging, and network isolation strategies. Networking & Cloud Security: Deep expertise in TCP/IP, DNS, Load … SSL/TLS/mTLS, along with AWS Shield for DDoS protection, AWS WAF for web security, VPC segmentation, and automated vulnerability scanning. Container Security & Orchestration: Expertise in Docker, ECS, EKS, Kubernetes, implementing security best practices like image vulnerability scanning, Kubernetes RBAC, IAM Roles for Service Accounts (IRSA), Pod Security Policies, and automated compliance enforcement. Infrastructure Automation & Security: Strong More ❯

teams: Work closely with development teams to design and implement infrastructure that supports application needs. Ensure developers can deploy and manage their environments efficiently using AWS tools (e.g., EKS, ECS). • Security and compliance: Ensure that AWS services comply with security and compliance requirements, including encryption, access control (IAM), network security, and monitoring. Regularly conduct security audits and implement … closely with Tech Delivery teams to design and implement infrastructure that supports application needs. Ensuring Software Engineers can deploy and manage their environments efficiently using AWS tools (e.g., EKS, ECS, Docker). • Implement and promote Infrastructure as Code (IaC) using tools like Terraform, ensuring infrastructure is automated, consistent, and version controlled. • Help design and manage infrastructure that scales efficiently … the Director of Software Engineering and other management staff. Qualifications & Experience: (E - Essential; D - Desirable) Proven experience in cloud infrastructure management (E) Expert knowledge of AWS services (e.g., EKS, ECS, EC2, S3, IAM, CloudWatch, VPC, Route 53, Lambda, RDS) (E) Strong experience with Infrastructure as Code tools such as Terraform and AWS CloudFormation (E) Track record of implementing and More ❯