Platform Engineer (Full-stack)

[회사 소개] We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll join a global engineering team building intelligent cloud engineering platforms for the life cycle management of SAP HANA Cloud. Our team combines full-stack software engineering, cloud infrastructure engineering, and AI to deliver next-generation engineering services. [주요 업무] • You'll design, build, and operate platform capabilities supporting software delivery, release engineering, and intelligent cloud operations for SAP HANA Cloud. • You'll develop end-to-end solutions spanning microservices, APIs, modern web applications, deployment pipelines, and cloud platform integrations. • You'll also build AI-powered platform capabilities by integrating LLMs and other AI technologies into engineering workflows, enabling intelligent software analysis, release decision support, and operational automation across HANA Cloud environments. • You'll collaborate with software engineers, platform engineers, and AI practitioners to turn emerging AI capabilities into reliable production-grade platform features. [자격 요건] • BS/MS in Computer Science or a related technical field, or equivalent practical experience. • 3+ years of software engineering experience with full-stack web development. • Proficiency in one or more modern programming languages such as Java, TypeScript (incl. JavaScript) or Python, and experience building data-driven web applications or dashboards. • Experience with relational databases. • Understanding of CI/CD pipelines. • Familiarity with AI Coding Agents (e.g. Claude Code, Codex CLI, Gemini CLI). • Ability to collaborate with cross-functional stakeholders. • Fluent written and verbal communication skills in English. [우대 사항] • Experience with Vue.js, including at least one production-grade application. • Experience with Kubernetes and its ecosystem. • Experience developing, fine-tuning, or evaluating AI models for domain-specific applications • Experience with MLOps. • Proficiency in statistical modeling, and experience building models for anomaly detection or predictive analytics in complex systems. [혜택 및 복지] 자세한 사항은 홈페이지 참조