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# DevOps / GenAI Engineer

- **Company:** Tenth Revolution Group
- **Location:** London, UK (Remote available)
- **Salary:** £104,000.0 - £117,000.0
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Bash Shell, Cloud Engineering, DevOps, Programming Tools, Github, Python (Programming Language), Cisco Nexus Switches, Octopus Deploy, OpenShift, SonarQube, Systems Integration, AWS Cdk, Scripting, Java Application Server, Istio, Kubernetes, Terraform, Docker, Vulnerability Analysis
- **Published:** September 25, 2026
- **Apply:** https://www.reed.co.uk/jobs/devops-genai-engineer/57392350

## About the Role

* Experience with AWS Kiro (L300 certification required or willingness to complete the certifications)
 * Proven background building CI/CD pipelines with GitHub Actions
 * Hands-on experience with ArgoCD and GitOps delivery models
 * Strong knowledge of Kubernetes, OpenShift, and AWS ROSA
 * Experience managing Nexus repositories and artefact lifecycle management
 * Strong experience integrating SonarQube quality gates and security scanning
 * Proven experience with Docker, Helm, and containerised deployments
 * Good scripting skills with Python, Bash, or Go
 * Experience using AI-powered development tools such as Kiro, Copilot, or Claude Code
 * Strong understanding of Java application migration and modernisation
 * Experience troubleshooting Kubernetes networking and service mesh environments
 * Knowledge of Istio and cloud-native architecture principles

Nice to have:

 * Terraform or AWS CDK experience
 * OpenShift or Kubernetes certifications
 * AWS DevOps Engineer Professional certification
 * Experience delivering enterprise migration programmes
 * German language skills

Skills

 * AWS
 * Kiro
 * DevOps

## Description

* Design and maintain CI/CD pipelines using GitHub Actions, Nexus, and ArgoCD
 * Support migration and containerisation of legacy Java applications
 * Implement GitOps deployment practices across OpenShift/ROSA environments
 * Integrate SonarQube and security controls into the deployment lifecycle
 * Use AWS Kiro and AI agents to automate DevOps workflows
 * Collaborate with development, infrastructure, and security teams
 * Improve monitoring, observability, and deployment reliability


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