1 to 25 of 117 Amazon ECS Jobs in the UK excluding London

while establishing and following DevOps best practices within the organisation. AWS Service Management : Deploy and manage core AWS services including EC2, S3, VPC, and ECS to support application deployment and operations. CI/CD Pipeline Development : Build and improve CI/CD pipelines using GitHub Actions to create Docker … ECR, and automate deployment processes for continuous integration and delivery. Container Orchestration : Work with Docker containers and manage deployments on Amazon ECS, implementing auto-scaling and load balancing solutions. Security and Access Management : Implement AWS security best practices, including IAM permissions, AWS Organizations, Secrets Manager for … and maintain system reliability for development teams. Required Experience: 5 years of experience in a DevOps or similar technical role Hands-on experience with ECS/Docker, VPC Networking, Secrets Management, GitHub Actions, Terraform, as well as other AWS services including EC2, S3, and IAM Proficiency with Terraform for More ❯

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 More ❯

DevOps tooling such as Jenkins, Bitbucket, Nexus, Git, Jira etc. Experience in working & configuring wide range of AWS services such as API Gateway, Lambda, ECS, Elastic Load Balancers, EC2, MSK, RDS – Oracle preferred Experience on virtual server hosting (EC2), container management (Kubernetes, ECS and EKS) and Linux Operating … working within a controlled environment such as banking and financial services Experience on Docker and at least one Docker Container orchestration – Amazon ECS/EKS, Kubernetes. Relevant AWS certification(s). About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their More ❯

architectures and patterns for a large multi-account AWS estate. Solve complex business challenges as an AWS subject matter expert, leveraging services like EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, and IAM. Drive DevOps and CI/CD practices, working with tools like Docker, Kubernetes, OpenShift More ❯

architectures and patterns for a large multi-account AWS estate. Solve complex business challenges as an AWS subject matter expert, leveraging services like EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, and IAM. Drive DevOps and CI/CD practices, working with tools like Docker, Kubernetes, OpenShift More ❯

Terraform, initially. Here’s an abbreviated list of tech/skills you’ll use in the role: AWS & GCP and various services, including AWS ECS, EC2, Fargate, Lambda, and GCP Compute Engine, Kubernetes Engine (GKE), Cloud Storage, BigQuery, and IAM. Terraform for IaC Docker Kubernetes Linux (sysadmin including firewalls More ❯

Hands-on experience with AI-driven DevOps tools (GitLab AI, AIOps, AI-powered security scanning). Deep knowledge of AWS services (EKS, EC2, Lambda, ECS, S3, IAM, etc.). Proficiency in scripting and automation (Python or Golang preferred). Experience with Kubernetes, Docker, and Terraform for infrastructure orchestration. Understanding More ❯

on renewals, upsells, cross-sells, and expansion opportunities. Requirements Background knowledge and hands-on practice in Cloud DevOps, specifically experience with AWS (EC2, EKS, ECS, Fargate, Lambda, CloudFormation, Load Balancers, CloudWatch) and the equivalent with Azure and GCP Background knowledge and hands-on practice in Observability, specifically experience working More ❯

Bash, PowerShell). Deep understanding of cloud computing platforms (e.g., AWS), the working and reliability constraints of some of the prominent services (e.g., EC2, ECS, Lambda, DynamoDB etc) Experience with infrastructure as code tools such as CloudFormation, Terraform. Deep understanding of CI/CD concepts and experience with CI More ❯

multi-cloud, however most of our work is with AWS and GCP, and you should have experience of working with the following cloud services: ECS, EKS, GKE, ECR, GAR Lambda, Step Functions, Cloud Run EC2, VPC and Load Balancing S3 and GCS RDS and Cloud SQL IAM AWS Organizations More ❯

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. More ❯

RDBMS, RESTful APIs, Kubernetes, Kafka, Cassandra, Elastic Search Experience with SDLC, CI/CD toolsets, Automation, standard IDEs Experience with Public Cloud & related Technologies (ECS, S3, Lambda, Elastic Search, MongoDB, Athena, Glue) Experience with Agile, Test-driven development. In-depth knowledge of various software architecture solution patterns Self-learner More ❯

commercial experience in software engineering Strong TypeScript or Java/Node.js proficiency Proven experience working in serverless AWS environments (Lambda, Step Functions, API Gateway, ECS) Experience designing and developing microservices with clean domain boundaries Good working knowledge of SQL and cloud databases (Aurora/Postgres, DynamoDB, Snowflake etc.) Familiarity More ❯

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 More ❯

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 More ❯

Cloud Infrastructure Management: Oversee the management of global cloud infrastructure (primarily AWS) to ensure seamless integration, scaling, and resilience. Maintain services like AWS EC2, ECS, EKS, VPC, and Transit Gateways. UAT Environment Management: Build and maintain high-quality User Acceptance Testing (UAT) environments to ensure that pre-production testing More ❯

have experience in some of the following: • Backend service development in JavaScript/TypeScript with Node.js • Event-driven microservices architecture • AWS - EC2, Lambda, S3, ECS, EKS, etc. • Some experience of building, developing, leading, and mentoring a team of software engineers Desirable Skills and Experience • Experience working in a cross More ❯

monitoring and analytics tools (Azure Monitor, Log Analytics) Scripting and automation with Bash/Powershell and Azure CLI Good understanding of AWS services (Lambda, ECS, EC2, IAM, RDS) Knowledge of programming languages C or .NET is advantageous Excellent team collaboration and communication skills Positive and flexible attitude to work More ❯

managers, and stakeholders to shape technical strategy Solve complex engineering challenges to enhance performance, resilience, and maintainability Technical Stack: Backend: .NET 8, AWS Lambda, ECS, EKS Databases: SQL/NoSQL (DynamoDB, Aurora, DocumentDB MongoDB experience a bonus) Event-Driven Systems: Kafka, AWS MSK, EventBridge, SNS/SQS DevOps & Infrastructure More ❯

of production systems Tech Stack Languages: Java, Spring Boot Architecture: Microservices, REST APIs, Event-driven architecture Databases: Cockroach DB Cloud: AWS (EC2, Lambda, S3, ECS), Docker, Kubernetes CI/CD: Jenkins, GitLab CI/CD, Terraform What We’re Looking For 7+ years of Java development experience in high More ❯

in software engineering with strong expertise in Java and/or Python . Deep experience with AWS and building cloud-native applications (e.g., Lambda, ECS, S3, RDS, CloudFormation). Experience working in product-led or SaaS-based environments , delivering customer-facing features. Strong understanding of distributed systems, microservices, and More ❯

least JDK 1.8) & prefer to have some experience with Spring Boot. Good to have experience using AWS cloud services (e.g., EC2, S3, Lambda, MSK, ECS, EMR, RDS, Athena etc. ) Experience working with Maven, Jenkins, Git etc. Understanding of database concepts and working knowledge with any of the vendors (Preferably More ❯

years of experience in machine learning operations, data engineering, or related roles AWS Proficiency: Strong understanding of AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI More ❯

of Site Reliability Engineering Ability to build and maintain a system and culture that supports and implements SLOs. Familiar with Docker & Kubernetes, specifically EKS & ECS Familiar with programming languages, such as Python or .NET C#. Additional Preferred Qualifications: Proven experience in monitoring, analyzing, and optimizing the performance of large More ❯

experience in some or all of the following technologies: Python, Java, Spring Boot, TensorFlow, PyTorch, Apache Spark, Kafka, Jenkins, Git/Bitbucket, Terraform, Docker, ECS/EKS, IntelliJ, JIRA, Confluence, React/Typescript, Selenium, Redux, Junit, Cucumber/Gherkin. About Datalex Datalex's purpose is to transform airline retail. More ❯