דרושים （障がい者採用）2027年入社aws技術職 Professional Services/ ב-אמזון ב-יפן

About the RoleYou can work from San Francisco, CA, or Seattle, WA.You Will- Partner with data analysts, product managers, technical leads, and other engineers to design, develop, launch, and operate distributed systems at scale.Perks
* Medical, Dental, Vision & Disability Insurance
* 401(k)
* Maternity & Parental Leave
* Amazon Employee Discount

- 3+ years of software development experience
- BA/BS in Computer Science or equivalent industry experience
- Experience building backend services at scale with technologies such as Golang and AWS.
- Background in deploying and operating services in the AWS ecosystem at scale

- Background in media protocols (audio / video)
- Experience building highly available and resilient systems
- Experience building distributed systems at scale
- Background in computer networkingPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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

1. Submit your application
2. Complete your online assessment
3. First interview will be completed by 2-weeks after completing online assessment
4. Final interviews will be completed by 3-weeks after completing first interview depending on slot availability.１． 応募書類の提出
２． オンラインアセスメント
３． 一次面接
４． 最終面接
（応募から最終面接まで1‐2か月を想定しています）

- Bachelor’s Degree in Computer Science or related field
- Available to join in 2025
- Within 2 year after graduating university when application is complete
- Computer Science fundamentals in object-oriented design
- Computer Science fundamentals in data structures Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
- Proficiency with the tools of the trade, including a variety of modern programming languages (Java, C/C++, Objective C, Python, JavaScript, etc.) and open-source technologies (Linux, Spring, JQuery, etc.)
- Business Level English Communication Skills

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.Key job responsibilities
Develop AI solutions for various Prime Video Recommendation and Personalization systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods;Work closely with applied scientists, engineers and product managers to design, implement and launch AI solutions end-to-end;Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses;Stay up-to-date with advancements and the latest modeling techniques in the field;

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with large scale machine learning system or application

- 4+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
- Experience with building large scale recommendation system
- Experience with building large scale recommendation system

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