Aws Sa Class Bcf jobs at Amazon in Japan

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
The Head of Construction will be responsible for:
• Hiring and developing new Construction Managers. Coach, mentor, and lead a large Construction Management team (20+ builders, including people managers).
• Strategic and tactical management of construction capacity delivery within their region.
• Communicate and provide guidance to Finance during the development and execution of capital budgets.
• Coordinate with various teams supporting the data center development and launch.
• Develop and manage metrics quantifying performance across North Asia Construction.
• Coordinate with Business Development on land and facility acquisition.
• Manage the safety, speed, cost, and quality of the data center deliverable.Additionally, Head of Construction should possess the following abilities:
• Ability and drive to learn our Data Center technology and construction process
• Ability and willingness to think creatively and build innovative solutions to reduce cost and duration with no impact on quality and reliability.
• Ability to perform complex business case analysis to justify the project scope and present the justification to management in a high-level review.
• Possess clear written and verbal communication skills and ability to use data to justify conclusions and show return on investment (ROI) in both English and Japanese.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 12+ years leading development and construction of Data Center projects and/or critical infrastructure projects.
- Bachelor's degree and/or relevant professional licenses in Construction Management, Pre-Construction Management, or related fields.
- Experience in the design and scale of large construction organizations including directly managing teams and budgets.

Key job responsibilities
Use machine learning and statistical techniques to create scalable catalog abuse detection solutions that identify listing violations, selling partner integrity, and content manipulationInnovate with the latest GenAI technology to build highly automated solutions for efficient catalog monitoring, content verification, and automated listing complianceLearn, explore and experiment with the latest machine learning advancements to protect selling partner trust and integrityA day in the life
You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation.You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.

- PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
- 3+ years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF
- Experience in patents or publications at top-tier peer-reviewed conferences or journals

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
The successful candidate will be operationally responsible for a Data Center. Some high-level responsibilities include:
- Prioritize and assign trouble tickets to data center technicians and operators
- Recruit and train data technicians to ensure appropriate staffing levels
- Ensure effective and efficient management of day to day data center operations including queue management, 7/24 shift arrangement and hardware logistics
- Fast learn or act as the subject matter expert across all aspects in data center operations
- Ensure all operational KPIs and metrics are being measured and met- Manage Large Scale Events (outages) and act as the call leader
- Manage and improve the work-flows and through-put for data centers operations
- Recommend, document, and oversee policies and procedures to meet industry best practices and to meet required SLAs
- Maintain the on-call schedule coordinating absence and vacations
A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 4+ years of Information Technology (IT) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent
- 2+ years of people management experience
- 2+ years of operations and on-call support for data center facilities, mission critical plants, or production facilities experience

- Experience in Linux systems administration and/or development
- Knowledge of network design and layout as well as low voltage (copper/ fiber) cabling
- Experience in computer architecture, or experience with general troubleshooting/debugging of hardware
- Experience writing and publishing technical documents or equivalent
- Experience previously in program or project management

GAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud.Key job responsibilities
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Japanese fluency, Business English
- PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field plus 5 years of relevant experience, or Master’s degree plus 10 years of relevant work experience
- 5+ years of hands on experience with Python to build, train, and evaluate models
- 5+ years of experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high- performance computing
- 2+ years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training, continual pre-training, fine-tuning, or reinforcement learning techniques.
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals
- Experience directly managing scientists or machine learning engineers

ソリューションアーキテクトは、お客様訪問先で AWS を語るに相応しい人材であり、お客様のシニアクラスな方々（CxO レベルも含まれる）と議論した上でお客様のクラウド戦略に影響を与え、クラウド戦略・クラウドジャーニーをリードします。また一方で、技術的に確固たるバックグラウンドを持ち、お客様のアーキテクト及びソフトウェア開発者の方々と技術的な議論を交わし、実現可能性を顧客と共に確認しながら、クラウドを利用した既存システムの移行および新しいテクノロジーを活用したイノベーションをリードするポジションです。

- 1. Degree in Computer Science, Engineering, Mathematics, Technology, or a related scientific/technical field - OR - equivalent training, certifications, and/or experience, regardless of your academic background (0 -2 years)
- 2. Demonstrated ability to adapt to new technologies and learn quickly, even if you don't have prior experience
- 3. Knowledge and/or experiences in AWS services such as EC2, ALB, RDS, VPC, Route53, and S3
- 4. AWS Cloud Practitioner and/or Associate Solutions Architect and/or AI Practitioner Certificate

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities
- Responsible for day-to-day assistance with capacity management.- Deliver simple, sustainable and repeatable solutions and processes.- Manage work and priorities through ticketing system and workflows.- Troubleshooting cabling infrastructure connectivity issues, including patch panels and patch cords.- Participate in the migration, basic configuration and rollout of new or upgraded hardware.- Specifying Power and Cooling requirements and ensuring Hardware Racking/Stacking completed for new equipment.Physical requirements:
- Working in stationary position, with appropriate breaks while maintaining a high level of alertness and attention to detail.- Manual handling and lifting of equipment may be required (weight limits in accordance with regulations)About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

Education & Certification: Bachelor’s degree in Computer Science or a relevant certification, combined with hands-on experience in networking deployment and cabling infrastructure best practices.Technical Expertise: Strong understanding of enterprise infrastructure technologies including routers, switches, load balancers, and firewalls.Cabling & Tools Knowledge: Familiarity with network cabling standards, optic types, and testing tools such as VFL, power meter, and OTDR.Language Skills: Very good command of English, both written and spoken.

Project & Problem-Solving Skills: Comfortable working on small to medium, and slightly complex projects in ambiguous environments; strong prioritization, time management, and analytical judgment under pressure.Networking Knowledge: Solid understanding of Ethernet, IP networking, and fabric-based network design; experience in large-scale data center network implementations and virtualized enterprise environments.Technical Expertise: Familiar with network cabling, optic types, and test equipment (VFL, power meter, OTDR); strong troubleshooting and support background.Best Practices & Methodologies: Awareness or knowledge of IT best practice frameworks such as ITIL, LEAN, AGILE, and Operational Excellence principles.

职位：Applied scientist 应用科学家实习生
毕业时间：2025年10月 - 2026年9月之间毕业的应届毕业生
· 入职日期：2025年6月及之前
· 实习时间：保证一周实习4-5天全职实习，至少持续3个月
· 工作地点：北京朝阳区酒仙桥路恒通商务园区
投递须知：
1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！
2 学校的英文全称请准确填写。

- 正在攻读计算机工程，计算机科学，机器学习，运筹学，统计或相关领域的硕士或博士学位。
- 有机器学习实验设计和统计分析的经验。
- 有使用代码和工具实现算法的经验。
- 有Java，C ++或其他编程语言，以及Python或类似脚本语言的经验。

- 在顶级NLP或ML会议或者期刊上有论文发表。
- 技术视野好；能与技术团队成员深入讨论概念和算法，并对应用问题提出恰当的解决方案。
- 出色的批判性思维能力；能以口头和书面形式清楚地向团队沟通您的技术方案。
- 如有任何问题，请邮件至：cn-sp-sde@amazon.com ，邮件标题请标注“应用科学家+姓名+学校+毕业年份，举例应用科学家+张三+北邮+2025年