Online
채용 공고 전체 보기
아마존(Amazon)

Software Development Engineer, AWS Forward Deployed Engineering

경력 무관서울상시 채용

경력
경력 무관
고용 형태
정규직
마감
상시 채용
지역
서울서울특별시 강남구 테헤란로 231 (역삼동, 센터필드 서관 12층)
직군·직무
개발DevOps / 시스템 관리자, 소프트웨어 엔지니어, 데이터 엔지니어
출처
원티드

이 공고에서 요구하는 AI 역량

AI 활용 필수

AI 관련 항목

  • 주요 업무2곳
  • 자격 요건0곳
  • 우대 사항2곳

공고에서 찾은 문장

  • 주요 업무

    Embed within customer engineering teams. Work alongside senior FDEs and customer engineers to understand the customer's technical architecture and business context. Execute well-defined tasks within larger AI-enabled production systems. Requires 30–50% travel.

  • 주요 업무

    etrieval pipeline modules, workflow automation steps, API integrations, data connectors — under the technical direction of senior FDEs. Write clean, well-tested code that integrates into larger AI and agentic workflow systems. Solve straightforward software problems with visible risks or roadblocks.

  • 우대 사항

    Exposure to agentic and spec-driven development (developing AI agents a plus)

  • 우대 사항

    Familiarity with AI tools: eval frameworks, agent tooling, RAG pipelines, or prompt engineering

요구 경력

경력 무관

회사 소개

A Forward Deployed Engineer I embeds directly inside a strategic enterprise customer alongside senior FDEs to help design, build, and deploy AI-powered production systems. FDE Is write production-grade code under the guidance of senior engineers, contributing software components to AI systems that deliver measurable customer business outcomes. FDE Is are early in their forward-deployment career. They take well-defined tasks within larger AI workstreams and deliver high-quality, well-tested code that goes to production.

주요 업무

• Embed within customer engineering teams. Work alongside senior FDEs and customer engineers to understand the customer's technical architecture and business context. Execute well-defined tasks within larger AI-enabled production systems. Requires 30–50% travel. • Build production AI application components. Develop and test production-grade software components — retrieval pipeline modules, workflow automation steps, API integrations, data connectors — under the technical direction of senior FDEs. Write clean, well-tested code that integrates into larger AI and agentic workflow systems. Solve straightforward software problems with visible risks or roadblocks. • Contribute to production operations. Participate in the full software development lifecycle: development, testing, deployment, operations, and documentation. Assist with production incident triage and operational runbooks. Implement testing, CI/CD pipelines, and observability instrumentation. Identify and resolve root causes of operational issues. • Learn and grow rapidly. Actively absorb knowledge about customer domains, AI/ML technologies, and AWS services. Seek feedback from senior engineers and apply it immediately. Demonstrate good judgment about when to work independently and when to escalate. • Contribute to reusable patterns. Identify opportunities to codify recurring solutions into reusable code libraries, templates, or documentation that benefit future customer deployments.

자격 요건

• Bachelor's degree or equivalent • Bachelor's degree or higher in Computer Science or a related field, or equivalent professional experience, completed between February 2025 and February 2027 • Experience working in customer-facing or production environments • Strong business communication skills and high attention to detail • Business-level proficiency in both Korean and English • Legal authorization to work in Korea (Visa sponsorship is not available)

우대 사항

• 1+ years of non-internship professional software development experience • 1+ years of experience working in an Agile, startup, or fast-scaling environment • Exposure to agentic and spec-driven development (developing AI agents a plus) • Familiarity with AI tools: eval frameworks, agent tooling, RAG pipelines, or prompt engineering • Exposure to building or deploying AI/ML applications • Prior experience with Python, React, TypeScript, and/or Go • Experience with full software development lifecycle — coding standards, code reviews, source control, build processes, testing, and operations • Strong written and verbal communication skills; comfortable working in customer-facing environments

혜택 및 복지

자세한 사항은 홈페이지 참조

회사 정보

아마존(Amazon)홈페이지

서울특별시 강남구 테헤란로 231 (역삼동, 센터필드 서관 12층)지도 보기

1 / 2

아마존(Amazon) 사진 1