Resumo da vaga

Forward Deployed Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

  • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform.
  • Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
  • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  • Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.
  • 7+ Years of Experience: A proven track record with at least 7 years of professional experience in Data Engineering, AI System Design, or Software Development.
  • Production-Grade Delivery (Preferred): Extensive experience in developing and deploying Data or AI-related products into production environments, ensuring reliability, scalability, and performance.
  • Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
  • Full-Stack Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • AI/ML Expertise: Familiarity working with AI APIs (such as OpenAI, Anthropic, and Gemini) and integrating them into applications. Experience leveraging AI code generation tools to accelerate productivity is a plus.
  • Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
  • Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
  • Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal).
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