8 of 8 Remote AWS CodePipeline Jobs in England

Role : AWS Architect Location :London, UK (Hybrid) Duration :Contract/permanent We are seeking a highly experienced and skilled Lead AWS Architect with 12-15 years of experience in IT architecture and cloud solutions. The ideal candidate will have a strong background in designing and implementing scalable, secure … and cost-effective AWS cloud solutions. This role involves leading a team of architects, collaborating with stakeholders, and driving cloud strategy and innovation. Key Responsibilities: Cloud Architecture Design: Design and implement robust, scalable, and secure AWS cloud architectures. Develop architectural blueprints and detailed documentation to guide implementation and … integration. Evaluate and select appropriate AWS services to meet technical requirements. Infrastructure as Code (IaC): Implement and manage infrastructure using AWS CloudFormation, Terraform, or similar tools. Automate deployment processes to ensure efficient and consistent cloud infrastructure management. Security and Compliance: Design and implement security best practices, including identity More ❯

a critical role in building new features and scaling our platform. We're currently in our "scale up" phase, with our tech moving into AWS, we're moving into an event-based serverless architecture, with our whole infrastructure managed by Terraform, and deployments automatically handled through CodePipeline. We're … Java and Angular. Collaborate with the product team to understand requirements and translate them into technical solutions. Build and optimise cloud-based infrastructure using AWS services. Implement and maintain CI/CD pipelines to streamline the development and deployment process. Write clean, efficient, and reusable code while adhering to … improvement of our development processes and technologies. Technical Skills: Proficient in Java and Angular (experience with the latest versions preferred). Strong understanding of AWS services, including but not limited to EC2, S3, RDS, and Lambda. Hands-on experience with CI/CD tools and workflows (e.g., Jenkins, GitLab More ❯

would be mandatory Understanding of Domain Driven Design would be beneficial Expertise of the any industry standard API management platforms (eg- MuleSoft, Apigee, Kong, AWS API Gateway) Experience in modelling, building and deployment large-scale distributed micro-services using Java and spring boot Deep expertise of cross cutting concerns … observability, logging, monitoring, Error Handling Knowledge of any industry standard solution Splunk, ELK would be beneficial Expertise of any public cloud (AWS preferred) Knowledge of Enterprise Integration Patterns with deep understanding of Kafka would also be beneficial Expertise in any industry DevOps solutions (eg - Jenkins, GitLab, AWS CodePipeline More ❯

ability to test components An understanding of test automation concepts and their application Experience in CI/CD using tools such as Jenkins, Git, AWS CodePipeline Take an automation-first approach to test execution where possible Meticulous attention to detail Excellent communication skills and ability to communicate effectively More ❯

reliability, and automation of our ML infrastructure and workflows Developing systems for both real-time (low-latency) and batch inference use cases Working with AWS and other cloud services (e.g. Fargate, ECS, Lambda, S3, SageMaker, Step Functions) to deploy and monitor models in production Implementing and maintaining CI/…/streaming contexts Proficiency working with distributed computing frameworks such as Apache Spark , Dask, or similar Experience with cloud-native ML deployment , particularly on AWS , using services like ECS, EKS, Fargate, Lambda, S3, and more Familiarity with orchestration and workflow scheduling tools such as Dagster , Airflow , or Prefect Knowledge … of CI/CD best practices and tools (e.g. GitHub Actions, Jenkins, CodePipeline) Exposure to monitoring and observability tools for ML systems (e.g. Prometheus, Grafana, DataDog, WhyLabs, Evidently, etc.) Experience in building parallelised or distributed model inference pipelines Nice-to-Have Skills Familiarity with feature stores and model registries More ❯

Kinesis) and change data capture (CDC). Messaging (e.g. RabbitMQ, SQS). Docker and Kubernetes. Solution and architecture design. Test-driven development (TDD). AWS cloud infrastructure (ECS, EKS, CodePipeline, RDS, CloudWatch). Previous experience working in e-commerce and/or financial services. Soft skills: Agile, SCRUM More ❯

the office Eligibility to work in the UK Essential Key Skills and Knowledge You will: Have expert knowledge of implementing Infrastructure-as-Code in AWS Have strong knowledge of AWS technologies such as Lambda, CloudFront, EC2, CodePipeline, S3, EventBridge and CloudWatch Be able to implement different types More ❯

products. Consider architectural and non-functional requirements and work with the team to deliver scalable solutions. Contribute to the design, management & maintenance of our AWS hosted infrastructure covering our dev, UAT and production environments. Hands on with the ability to have direct impact on the future of our products … secure platform. Problem management and root cause analysis. Appreciation of costs management, actively monitoring monthly cloud spend. Competence, Knowledge and Skills Containerisation (Docker and AWS ECS or similar). Linux and Windows, with emphasis on scripting and automation. Automation tools, focusing on deployments through CodeBuild and CodePipeline. AWS More ❯