<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>About the company -</strong></p><p>Rakuten Symphony is a Rakuten Group company, providing global B2B services for the mobile telco industry and enabling next-generation, cloud-based, international mobile services.</p><p>Building on the technology Rakuten used to launch Japan’s newest mobile network, we are taking our mobile offering global. Let’s build the future of mobile telecommunications together!</p><p><br/></p><p><strong>About the role:</strong></p><p>We are hiring a Solution Architect (Infrastructure &amp; AI Automation) to join our E2E Architecture team. You will lead the design and implementation of a cutting-edge, bare-metal Kubernetes infrastructure pipeline tailored for web and telco applications. This role is unique: you will build an AI-driven automation factory that ingests packet core applications, reverse-engineers their deployment requirements, and automates their lifecycle from the lab to high-scale production environments.</p><p><br/></p><p><strong>KEY RESPONSIBILITIES:</strong></p><p><br/></p><p><strong>AI-Driven Automation &amp; Pipeline Architecture</strong></p><ul><li>AI-Infused Ingestion: Build an AI-driven "Ingestion Engine" that utilizes LLMs and static/dynamic analysis to reverse-engineer proprietary packet core binaries/configurations into declarative Kubernetes manifests (Helm/Operators).</li><li>AI-Disseminated Automation: Build the framework to "teach" the infrastructure; use AI to disseminate configuration logic, security policies, and deployment patterns across the entire stack, ensuring consistency from the dev lab to production.</li><li>Closed-Loop Lifecycle: Create an end-to-end chain that automates the transition of applications: Ingestion -&gt; Reverse Engineering -&gt; Lab Deployment -&gt; Automated Testing -&gt; Production Promotion.</li></ul><p><br/></p><p><strong>Observability &amp; AI-Ops:</strong></p><ul><li> Implement AI-Ops for proactive monitoring; utilize AIOps tools to analyze metrics, logs, and traces (Prometheus, OpenTelemetry) to predict infrastructure failures before they impact service.</li><li>Drive "AI-assisted troubleshooting" to automatically generate runbooks and remediation steps for complex network functions.</li></ul><p><br/></p><p><strong>Lab-to-Production Orchestration</strong></p><ul><li>Lab-as-Code &amp; Automated Validation: Build an automated "Lab Factory" where applications are deployed, tested, and validated without human intervention.</li><li>Automated Promotion: Develop the logic that triggers AI-driven validation checks-if the build passes the lab criteria, the pipeline automatically promotes it to production environments.</li></ul><p><br/></p><p><strong>QUALIFICATION REQUIREMENTS:</strong></p><ul><li><strong>10 years</strong> in infrastructure architecture, with a deep focus on Kubernetes, high-scale telco cloud environments and automation</li><li><strong>AI/Automation Expertise:</strong> Experience building automation frameworks that leverage AI/ML to solve complex engineering problems. Understanding of LLM prompting, agentic workflows, or ML-based anomaly detection is a significant advantage.</li><li><strong>Telco app knowledge:</strong> Knowledge of 4G/5G Core (EPC/5GC) architectures and the technical challenges of containerizing these legacy/complex network functions is a plus. </li><li><strong>DevOps/GitOps Proficiency:</strong> Strong background in CI/CD, IaC (Terraform, Ansible), and GitOps (ArgoCD/Flux) at scale.</li><li><strong>Reverse Engineering:</strong> Experience in analyzing black-box applications and configuration extraction to enable automated redeployment and configuration changes</li><li><strong>Lab Automation &amp; Digital Twin Orchestration</strong>: Proven track record of designing "Lab-as-a-Code" environments. You must have experience building automated testing harnesses that simulate real-world traffic patterns, automate the deployment of CNFs from scratch, and integrate automated "Go/No-Go" validation gates that programmatically promote builds from lab to production.</li><li><strong>Communication:</strong> Excellent stakeholder management skills; ability to articulate complex AI-driven architectural decisions to both technical and executive audiences.</li></ul><p></p> </div>