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# Cloud Engineer - Digital Assets

- **Company:** Qube Research & Technologies
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, Big Data, Software as a Service, Continuous Integration, Linux, DevOps, Distributed Systems, Python (Programming Language), Performance Tuning, Cloud Services, AWS Cdk, Scripting, Cloud Platform System, Amazon Virtual Private Cloud (VPC), Cloudformation, Containerization, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Terraform, Docker, Jenkins
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/cloud-engineer-digital-assets-qube-research-technologies-8123214

## About the Role

* Extensive experience with AWS services and infrastructure (e.g. EC2, S3, VPC and related components)
 * Proficiency in scripting languages such as Python or Bash for automation
 * Strong understanding of CI/CD principles and experience with pipelines using tools such as Jenkins or GitLab CI
 * Experience with infrastructure-as-code tools such as Terraform, CloudFormation or AWS CDK
 * Hands-on experience with distributed computing systems and processing large datasets
 * Practical experience with containerisation and orchestration (e.g. Docker, Kubernetes)
 * Good understanding of Linux systems, including networking and performance optimisation
 * Familiarity with time synchronisation concepts and protocols such as NTP or PTP
 * Strong communication and collaboration skills, with the ability to work effectively across teams and departments

## Description

* Design and implement deployment strategies for applications on AWS in collaboration with development, trading and operations teams
 * Drive the adoption of CI/CD practices to automate and streamline software delivery
 * Develop and maintain monitoring solutions to ensure availability, performance and reliability of cloud-based applications
 * Work with developers to enhance application scalability, reliability and security in cloud environments
 * Provide operational support and troubleshooting for issues related to cloud deployments and infrastructure
 * Evaluate and introduce new tools and technologies to improve efficiency of DevOps processes
 * Act as a liaison between engineering and business teams to facilitate effective communication and collaboration


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