Senior Technical Architect – Hybrid (Product / Platform) (m/f/d)

<br><strong>Your mission</strong><p>Cloud Native Node.js &amp; AI-enabled Product with SAP Private Cloud Integration | Senior / Principal Level <br><br>As Senior Technical Architect – Hybrid, you own the technical design across our two worlds: the cloud-native, AI-enabled product line built on modern Node.js architectures, and its integration into the SAP Private Cloud platform landscape. <br>Your focus is approximately 70% Public Cloud product architecture and 30% SAP Private Cloud platform architecture. You are the architect who makes the hybrid seam work – ensuring that public cloud innovation and the SAP core evolve as one coherent, scalable, and future-proof landscape rather than two disconnected estates. <br><p>Your Responsibilities </p><ul><li>Cloud-Native Product Architecture (Primary Focus)</li></ul>Design of microservices architectures on Node.js <br>API-first and event-driven architecture concepts <br>Definition of service boundaries, data flows, and integration patterns <br>Ensuring multi-tenant capability and tenant isolation <br>Non-functional design: performance, scalability, resilience, cost <br><ul><li>AI Integration in Product</li></ul>Technical architecture for AI features in the product <br>Integration of LLMs or AI services within defined guardrails <br>Design of RAG and agentic patterns over product and platform data <br>Performance and cost optimization of AI-driven features <br><ul><li>Hybrid Integration Architecture (Public ↔ Private Cloud)</li></ul>Design of the integration layer between cloud-native products and SAP S/4HANA Private Cloud <br>API and event contracts across the hybrid boundary (OData, REST, SAP Business Events, Event Mesh) <br>Data ownership, consistency, and synchronisation patterns across both estates <br>Identity, authorisation, and trust propagation across the hybrid landscape <br><ul><li>SAP Private Cloud Platform Architecture (Secondary Focus)</li></ul>Architectural guidance for S/4HANA Private Cloud extensions and side-by-side scenarios <br>Enforcement of clean core principles and SAP development standards <br>Architectural review of SAP-side designs together with the SAP Private Cloud &amp; SCM architect <br>Awareness of core SCM process flows (SD, MM, EWM) as they surface into product capabilities <br><ul><li>DevOps &amp; Deployment Architecture</li></ul>Collaboration with infrastructure and deployment engineers across both estates <br>Architecture design for containerization and cloud deployment <br>CI/CD and environment strategy spanning public and private cloud pipelines <br><ul><li>Design Governance</li></ul>Creation of HLD, SDD, and TDD up to epic level <br>Technical review and sign-off responsibility in the Architecture Board <br>Translation of enterprise guardrails into actionable design standards for teams <br><p>Organizational Context </p><ul><li><span><span>Embedded in the Engineering function</span></span></li><li><span><span>Senior / Principal Level</span></span></li><li><span><span>Part of the Architecture Board</span></span></li><li><span><span>Operates within guardrails defined by the Enterprise Architect</span></span></li><li><span><span>Works in close tandem with the Technical Architect – Public Cloud and the Technical Architect – SAP Private Cloud &amp; SCM</span></span></li></ul></p><br><strong>Your profile</strong><p><ul><li><span><span>Several years of experience as an architect in cloud-native environments</span></span></li><li><span><span>Strongexpertisein Node.js</span></span></li><li><span><span>Experience with microservices and API architectures</span></span></li><li><span><span>Strong understanding of event-driven systems</span></span></li><li><span><span>Experience integrating AI into software products</span></span></li><li><span><span>Cloud architecture experience (containers, orchestration, scaling)</span></span></li><li><span><span>Working knowledge of SAP S/4HANA Private Cloud and clean core extension patterns</span></span></li><li><span><span>Proventrack recorddesigning integration between cloud-native applications and an ERP core</span></span></li><li><span><span>High technical credibility with senior engineers in both cloud-native and SAP teams</span></span>Plus </li><li><span><span>Experience with SAP BTP and SAP CAP (Node.js/CDS)</span></span></li><li><span><span>Experience with RISE with SAP or</span><span>hyperscaler</span><span>-hosted SAP environments</span></span></li><li><span><span>Exposure to SCM processes and SAP modules (SD, MM, EWM)</span></span></li><li><span><span>Experience with ABAP / RAP at review level</span></span>echnology Stack </li><li>Public Cloud &amp; Product (≈70%)</li></ul>Node.js, TypeScript, microservices, API-first design <br>Containers and orchestration (Kubernetes / Kyma), Cloud Foundry <br>Event-Driven Architecture, SAP Event Mesh, SAP Business Events <br>CI/CD, Infrastructure as Code, observability <br><ul><li>SAP Platform &amp; Extensions (≈30%)</li></ul>SAP BTP, SAP CAP (Node.js/CDS) <br>S/4HANA Private Cloud and Public Cloud side-by-side extensions <br>Clean Core OData APIs, ABAP / RAP (at review level) <br><ul><li>Data &amp; AI</li></ul>HANA Cloud (HDI, Vector Engine) <br>Generative AI / SAP AI Core, RAG, LLM integration <br>LangChain / LangGraph, agentic orchestration <br><ul><li>Infrastructure &amp; Security</li></ul>Multi-Tenant Architecture <br>XSUAA / IAS / IPS, identity federation across hybrid landscapes <br>CI/CD (SAP and non-SAP toolchains) <br><p>AI Readiness </p>We expect our architects to work with AI, not just design for it. We assess AI readiness on two levels. <br><ul><li>General AI Working Practice</li></ul>Habitual, critical use of AI assistants in daily engineering and design work <br>Ability to judge where AI output is trustworthy and where it must be verified <br>Awareness of data protection, IP, and confidentiality boundaries when using AI tools <br>Willingness to share prompts, patterns, and lessons learned with the wider engineering organisation <br><ul><li>Role-Specific AI Usage</li></ul>AI-assisted architecture work: option analysis, trade-off exploration, design review support <br>AI-assisted generation and maintenance of HLD, SDD, and TDD artefacts <br>Use of AI coding assistants for prototypes, spikes, and reference implementations <br>Designing AI-native product capabilities: RAG over product and SAP data, agentic workflows, guardrails and evaluation <br>Assessing AI features for cost, latency, and operational risk before they enter the architecture</p><br><strong>Why us?</strong><p>You hold the hybrid landscape together. You build the foundation for scalable public cloud products, enable AI-native capabilities and ensure the SAP core and cloud-native product portfolio evolve as one. Your role enables innovation to scale at pace while keeping the platform stable, governed, and coherent. </p><p>Find <a href="https://www.arbeitnow.com">Jobs in Germany</a> on Arbeitnow</a>