AI Platform Engineer

🕒 July 31

🌐 Germany, Austria, +2 more countries – Remote

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⏰ Full Time

🟢 Junior

🟡 Mid-level

🏗️ Platform Engineer

👻 Ghost score 24%

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Logo of SAP Fioneer

SAP Fioneer

501 - 1000 employees

Founded 2021

💼 Consulting

🛡️ Insurance

📦 Logistics

Consulting • Insurance • Logistics

SAP Fioneer is a leading global provider of financial services software solutions and platforms. The company enables customers to innovate and transform their businesses by combining premier technology with development expertise, alongside a broad ecosystem of partners. Focusing on customer-centricity, SAP Fioneer assists financial services companies in achieving speed, scalability, and cost-efficiency through digital business innovation and cloud technology. They offer comprehensive solutions that cover banking and insurance processes end-to-end, operating in over 12 countries across multiple regions.

📋 Description

• Design, build, and operate infrastructure and platform capabilities for enterprise-grade AI solutions • Develop and maintain containerized applications and deployment environments using Docker and Kubernetes • Drive production readiness across security, scalability, reliability, observability, and operational excellence • Design and implement multi-tenant architectures with strong isolation and governance concepts • Establish monitoring, logging, tracing, alerting, and operational dashboards • Build and maintain CI/CD pipelines, release processes, and Infrastructure-as-Code • Define and implement security controls, secrets management, identity integration, and secure deployment practices • Collaborate with AI Engineers and Software Developers to transition AI solutions from prototype to production • Contribute to application development focused on platform capabilities, integrations, operational tooling, and infrastructure-related code • Support architecture decisions related to cloud infrastructure, security, operations, and maintainability • Drive platform standardization, automation, and operational best practices across AI solutions

🎯 Requirements

• Degree in (Business) Informatics, (Business) Mathematics, Computer Science, Physics, Engineering and interest in the area of financial services • 2-3 years of experience in Platform Engineering, DevOps, or Cloud Engineering • Experience operating production-grade cloud-native applications • Hands-on expertise with Kubernetes, Docker, and container orchestration • Experience with CI/CD, Infrastructure-as-Code, and automation frameworks • Knowledge of observability platforms such as Langfuse, OpenTelemetry, Grafana, Prometheus, or Azure Monitor is considered an asset • Experience with cloud security, identity management, and multi-tenant architectures • Familiarity with Python and modern software development practices • Understanding of AI platforms, LLM applications, agent frameworks, or RAG systems is beneficial • Strong troubleshooting and operational mindset

🏖️ Benefits

• Occupational pension provisions • Support for health and wellbeing • Bike leasing • Transportation allowances • Celebration rewards • Meal programs • Jubilee recognition • Relocation reimbursement

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