26 to 50 of 146 Amazon ECS Jobs in England

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 ❯

following: Proficiency in Go and Python programming languages Extensive experience with Terraform and infrastructure as code (IaC) principles Strong knowledge of AWS services, including ECS, Kinesis, DynamoDB, and Lambda Proficiency in CI/CD tools, particularly Jenkins and Spinnaker Familiarity with monitoring and observability tools such as CloudWatch and 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 ❯

technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy 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 ❯

delivering near-term commercial impact and building long-term foundations. Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/ More ❯

in world-wide markets. The Cloud Support Engineer - Containers role supports services that focus on Containerization including Elastic Kubernetes Service (EKS), Elastic Container Service (ECS), Elastic Container Registry (ECR), Fargate, App Mesh, Batch. In this role, engineers interact with customers that reach out to AWS via email, chat or More ❯

CSS frameworks like TailwindCSS and responsive UI design principles Working knowledge of DevOps, testing, and CI/CD pipelines Understanding of cloud infrastructure (AWS, ECS, Lambda) and containerisation is an advantage Core Competencies Ability to think beyond code, understanding product goals and user needs Strong problem-solving and analytical More ❯

CSS frameworks like TailwindCSS and responsive UI design principles Working knowledge of DevOps, testing, and CI/CD pipelines Understanding of cloud infrastructure (AWS, ECS, Lambda) and containerisation is an advantage Core Competencies Ability to think beyond code, understanding product goals and user needs Strong problem-solving and analytical More ❯

require swift action. Tech Stack Includes: Languages & Frameworks: Node.js, TypeScript, Mocha, Sinon Infrastructure & Tools: Terraform, Docker, Git, GitLab CI/CD Cloud Services: AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases: PostgreSQL, MySQL Experience required: Significant commercial experience as a backend developer. Strong problem-solving More ❯

require swift action. Tech Stack Includes: Languages & Frameworks: Node.js, TypeScript, Mocha, Sinon Infrastructure & Tools: Terraform, Docker, Git, GitLab CI/CD Cloud Services: AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases: PostgreSQL, MySQL Experience required: Significant commercial experience as a backend developer. Strong problem-solving More ❯

require swift action. Tech Stack Includes: Languages & Frameworks: Node.js, TypeScript, Mocha, Sinon Infrastructure & Tools: Terraform, Docker, Git, GitLab CI/CD Cloud Services: AWS (ECS, EC2, Kinesis, Firehose, RDS, Lambda, S3, DynamoDB, SQS, SNS) Databases: PostgreSQL, MySQL Experience required: Significant commercial experience as a backend developer. Strong problem-solving More ❯

engineering . You should have: ? Deep experience in .NET development (C#, ASP.NET, .NET Core). ? AWS cloud expertise hands-on with services like Lambda, ECS, API Gateway, RDS, DynamoDB, S3, IAM, and more. ? Strong SQL and NoSQL database experience. ? A background in event-driven architectures (Kafka, SNS, SQS). More ❯

Kafka, gRPC and Protobuf for event definitions Solver technology and algorithms to drive our workflow scheduling solver engine Deployment on AWS to IoT Greengrass, ECS, Lambda and EKS, with infrastructure managed via Terraform and pipelines via CircleCI Feature flags to enable us to experiment and control when we release More ❯

Hub Actions, Workflow, CodeQL Jenkins, Nexus, CloudFormation/Terraform etc.) Strong experience in monitoring tool (Datadog is preferred) Expertise with AWS services EC2, ELB, ECS, S3, Config, CloudTrail, EFS, Lambda, VPC Commercial experience with python/shell scripting Nice to have: Exp. with Docker or container-based systems Familiarity More ❯

Hub Actions, Workflow, CodeQL Jenkins, Nexus, CloudFormation/Terraform etc.) Strong experience in monitoring tool (Datadog is preferred) Expertise with AWS services EC2, ELB, ECS, S3, Config, CloudTrail, EFS, Lambda, VPC Commercial experience with python/shell scripting Nice to have: Exp. with Docker or container-based systems Familiarity More ❯

and networking best practices. Preferred Qualifications: Certifications : AWS Certified DevOps Engineer, Google Professional Cloud Architect, or similar. Containerization & Orchestration : Experience with Docker, Kubernetes, or ECS/EKS for containerized applications. SRE Experience : Familiarity with SRE principles like SLAs, SLOs, and error budgets, and practical application of those in large More ❯

including hands-on experience with services, cloud architecture, and infrastructure as code (CloudFormation or similar). Proficiency in containerization (Docker) and orchestration (EKS/ECS). Experience with CI/CD pipelines, DevOps practices, and observability tools (monitoring, logging, tracing). Strong grasp of RESTful API design, security principles More ❯

more of the following would also be beneficial : Scala AWS services like Kinesis, RDS, Elasticache, S3, Athena, Data pipeline, Glue, Lambda, EMR, Spark, EC2, ECS, CloudWatch or Elastic Beanstalk Jenkins or similar tools would also be a plus A team player - we highly regard collaboration. Knowledge or willingness to More ❯

some of the things we use now: TypeScript, React, styled-components Java & Python PostgreSQL, BigQuery, MySQL Jest, React Testing Library, Cypress, pytest AWS, GCP ECS Fargate, Docker, Terraform, GitHub Actions How we expect you to work We expect you to work in these ways, as well as encouraging and More ❯

Tailwind CSS, and ChakraUI. Develop and integrate scalable, reliable GraphQL APIs. Optimize systems for speed and performance. Backend TypeScript, Node.js, PostgreSQL, GraphQL DevOps AWS ECS, Lambda, SQS, S3, CloudWatch, Terraform, SST, Docker Requirements As an individual contributor, your focus will be on: Building and maintaining full-stack applications and More ❯

backend systems. Deep understanding of CI/CD pipelines for ML, including tools like GitLab CI/CD, MLflow, Docker, and ECS. Exposure to ECS, Kubernetes, Terraform, and Infrastructure as Code (IaC). Strong knowledge of cloud security and Identity and Access Management (IAM). Knowledge of vector databases More ❯

up to 2 years of experience) to help accelerate client implementations and improve integration processes. Our stack includes Python (Dataclasses, Pandas, Asyncio), Postgres, AWS (ECS, Lambda, SQS) —experience with these or similar tech is a plus. Agile (XP), TDD, CI/CD, and automation are central to how the More ❯