11 of 11 Contract Amazon ECS Jobs in England

APIs with React applications. Participate in code reviews, agile ceremonies, and continuous improvement initiatives. Tech Stack Backend: Java 17, Spring Boot, Kafka, REST APIs Frontend: React, TypeScript Cloud: AWS (ECS, Lambda, S3, CloudWatch) CI/CD: GitHub Actions, Docker, Terraform Databases: PostgreSQL, DynamoDB What We're Looking For 3+ years of experience in Java development. Hands-on experience with More ❯

and MS Defender into delivery pipelines. Essential Skills & Experience: 10+ years of hands-on DevOps experience with a focus on AWS cloud platforms Strong proficiency with AWS services (EC2, ECS, RDS, ELB, EFS, S3, IAM, CloudWatch, KMS, SSM, HSM) In-depth experience with AWS networking (VPC, Route53, NACLs, Transit Gateways, VIFs) Expertise in Terraform , Jenkins , Git , Ansible , and CI …/CD pipelines Experience with container technologies (Docker, Amazon Linux 2023 AMI) Exposure to OpenLDAP , Nginx , Squid proxy with mTLS , and Postfix/Dovecot mail server configuration Familiarity with system monitoring, logging, and alerting tools Strong scripting skills (Shell, Python, PowerShell) Experience in incident/change management using ServiceNow Proven ability to analyse and resolve complex infrastructure and More ❯

that integrate with enterprise systems and cloud platforms. Develop and optimize RESTful and GraphQL APIs to facilitate AI-driven interactions. Utilize AWS services (Lambda, S3, API Gateway, SageMaker, DynamoDB, ECS, etc.) to deploy scalable AI solutions. Implement Full Stack JavaScript (Node.js, React.js, Express, TypeScript, Next.js, etc.) applications to support AI-driven interfaces. Work closely with data scientists and ML More ❯

Contribute to technical design discussions and promote engineering best practice Support and troubleshoot live services as part of a wider team Software Engineer Required Experience: Strong AWS experience (Lambda, ECS, API Gateway, CloudWatch, etc.) Proven expertise with Python for backend development or scripting Deep knowledge of Terraform for building and managing infrastructure Strong understanding of DevOps principles: CI/ More ❯

microservices such as Broker, Scheduler, and Status Monitor. Push and manage Docker images in AWS ECR (Elastic Container Registry) and integrate them with GitLab CI/CD runners and ECS-based compute in CDP. Notebook & Pipeline Migration Migrate critical pipelines (analyst-developed, exploratory and transformation notebooks) from DPS to CDP using Code Promotion Process (CPP). Conduct dry-run More ❯

training is key to success. Our Tech Stack - Frontend: React - Backend: Nest.js, Python/fastapi, LangChain Test Automation: Pact, Jest, Cypress, and Pytest (including AI test automation) - Infrastructure: AWS ECS, PostgreSQL, Kafka (migrating from RabbitMQ) - Infrastructure as Code: Terraform (using native AWS services where possible) - CI/CD: GitHub-based tooling Our Engineering Culture - We believe speed comes from More ❯

databases, flat file systems). Collaborate with application and infrastructure SMEs to define optimal target platforms and integration strategies. Provide architectural guidance on cloud-native solutions, including AWS Lambda, ECS/EKS, RDS, S3, EFS, and containerised/serverless platforms. Explore use of mainframe migration tooling, cloud-based COBOL runtimes, and compiler compatibility. Support migration of storage (NAS) and … assessing legacy workloads and determining appropriate cloud-native migration paths. Knowledge of mainframe file systems and access methods (e.g., QSAM, VSAM). Familiarity with AWS (PaaS-first strategy): Lambda, ECS, EKS, RDS, EC2 custom builds, S3, EFS. Experience with Azure IaaS/PaaS, especially Azure SQL Managed Instance and file migration solutions like Azure NetApp Files. Comfortable working with More ❯

from the data scientist(s) within the team. Docker: Creating and managing images to allow the Python packages described above to be run in AWS via Elastic Container Service (ECS) CI/CD: GitLab CI Configuring pipelines to facilitate the deployment of the previously mentioned Python packages to various environments. Stages include unit tests, package building and security scanning More ❯

from the data scientist(s) within the team. Docker: Creating and managing images to allow the Python packages described above to be run in AWS via Elastic Container Service (ECS) CI/CD: GitLab CI Configuring pipelines to facilitate the deployment of the previously mentioned Python packages to various environments. Stages include unit tests, package building and security scanning More ❯

Leads and Engagement Managers and as the project moves into Build, a full engineering team. The role will include accountability for creating the low level design (LLD) for the ECS service (building on the Architectural design work already in flight). The LLD will cover the entirety of the service and serve as the main input into formal impacting … backlog creation for the Build phase, expected to run for 12-18 months. Post the Design phase, the role will include leading (technically) the development and delivery of the ECS Modernisation changes; adopting shared/common components built within the wider Mod. programme, driving ways of working in line with the engineering principles and assuring the work in the More ❯

Leads and Engagement Managers and as the project moves into Build, a full engineering team. The role will include accountability for creating the low level design (LLD) for the ECS service (building on the Architectural design work already in flight). The LLD will cover the entirety of the service and serve as the main input into formal impacting … backlog creation for the Build phase, expected to run for 12-18 months. Post the Design phase, the role will include leading (technically) the development and delivery of the ECS Modernisation changes; adopting shared/common components built within the wider Mod. programme, driving ways of working in line with the engineering principles and assuring the work in the More ❯