
amazonus
Software Development Engineer II, Sponsored Products and Brands
개발AI·머신러닝
AI 요약
Amazon Ads의 Sponsored Products and Brands 팀에서 생성형 AI를 활용해 광고 제작·최적화·성과분석 전반을 혁신할 소프트웨어 엔지니어를 채용합니다. 대규모 분산 시스템 개발, 운영 지원, 코드 리뷰, ML 실험 협업이 핵심이며, C#/C++/Java/Perl 기반의 설계·개발 경험과 객체지향 설계 역량이 요구됩니다.
주요 업무
소프트웨어 개발 생명주기 전반 참여(scoping, design, code, testing, deployment, maintenance), 어려운 소프트웨어 문제 해결, 운영 지원 및 장애 원인 분석·해결, 코드 리뷰 및 피드백 제공, 데이터 사이언티스트·프로덕트 매니저와 머신러닝 실험 협업, 설계·개발·운영 베스트 프랙티스 수립 및 개선, 주니어 엔지니어 멘토링.
자격 요건
필수: 3+ years of non-internship professional software development experience, 2+ years of design or architecture experience, 1+ years of software development engineer or related occupational experience, 1+ years of designing and developing large-scale multi-tiered multi-threaded embedded or distributed software applications/tools/systems/services using C#, C++, Java, or Perl, 1+ years of Object Oriented Design experience, Bachelor's degree or foreign equivalent in Computer Science/Engineering/Mathematics or related field, experience programming with at least one software programming language. 우대: 3+ years of full software development life cycle experience including coding standards, code reviews, source control management, build processes, testing, operations, Bachelor's degree in computer science or equivalent, background in advertising technology or e-commerce platforms, demonstrated track record of innovative AI solution development, experience with generative model architectures.
기술 스택
C#C++JavaPerlObject Oriented Design
amazonus의 다른 공고
Software Development Engineer II, AWS DynamoDB Web Service
Software Development Manager, Amazon Connect Customer (AWS)
Software Engineer II, Leo Regulus
개발, AI·머신러닝Software Development Engineer, Aurora DSQL
개발, 인프라·DevOpsSoftware Development Engineer, Amazon Software Builder Experience (ASBX) - Agentic Conversations
개발, AI·머신러닝, 인프라·DevOpsSr. Software Dev Engineer, Amazon Security - Vulnerability Management Engineering
개발, 보안Software Engineer II, Leo Regulus
개발, AI·머신러닝Software Development Engineer
개발, AI·머신러닝, 하드웨어·임베디드, 인프라·DevOps, 보안