דרושים Network Deployment Edge Lead Id ב-אמזון ב-יפן

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.To be successful in this team, you will also have:- Ability to work independently and manage multiple competing priorities- Ability and willingness to travel domestically or globally as and when needed
Key job responsibilities- Deploy software updates and manage controller provisioning. Deliver timely and successful software deployments with minimal service disruptions.
A day in the life- Continuously learn and adapt: The control system platform and supporting technologies are constantly evolving. You'll have the opportunity to gain deep expertise in industrial control systems, software deployment, and cross-functional collaboration. Your ability to learn quickly and adapt to change will be essential.About the team
About AWS
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

- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field
- Experience in vendor management
- Experience in a data center or other critical environment
- Experience in data center engineering or operations
- Experience with Microsoft Office including Outlook, Word, and Excel

- Experience in construction or project management

Key job responsibilities
Innovate in visual translation: Design, develop, and deploy state-of-the-art machine learning models for image translation, including text detection, recognition, and translation in images across multiple languages and scripts.Experiment and iterate: Design and execute experiments to evaluate the performance of different models across diverse image types, languages, and domains, and iterate quickly to improve results.
Build robust evaluation frameworks: Create comprehensive evaluation frameworks for assessing model performance across different languages, scripts (Latin, CJK, RTL, Indic), visual domains, and translation quality metrics.Drive scientific excellence: Publish your research at top-tier conferences.

- Experience programming in Java, C++, Python or related language
- Master's degree
- Experience researching about machine learning, deep learning, NLP, computer vision, data science

- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Have 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.To be successful in this team, you will also have:- Ability to work independently and manage multiple competing priorities- Ability and willingness to travel domestically or globally as and when needed
Controls Deployment & Service (CDS) Technicians support data center building automation systems, including Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS). In this role, you will deploy and service these critical systems to ensure optimal data center health and performance.Your responsibilities include deploying new BMS or EPMS installations during data center construction, upgrading existing Amazon-owned or leased facilities, and implementing Amazon hardware in colocated environments. You'll also provide regional servicing expertise to our fleet or data centers in your region, and occasionally support global operations.Success in this position requires effective collaboration with multiple Amazon teams, including Construction, Commissioning, Critical Projects, Data Center Operations, Procurement, Program Management, Design, and Engineering teams. You'll maintain strong vendor relationships that drive successful deployments and operations.
Key job responsibilities
- Deploy and maintain critical systems: Install, upgrade, and troubleshoot BMS and EPMS systems across multiple data centers, ensuring optimal performance through diagnostics, programming, and hardware maintenance.
- Execute technical projects: Manage installations from server provisioning to sensor calibration, supervise contractor work, and ensure all activities meet AWS safety and quality standards.
- Drive operational excellence: Provide commissioning support, conduct root cause analysis, create system documentation, and follow change management processes to maintain system integrity.- Deliver reliable service: Respond to emergencies, manage on-call rotations, oversee service agreements, and prioritize work through ticketing systems to maintain data center availability.A day in the life- Be at the nexus of action: Your involvement in data center delivery will be mission-critical to the successful deployment of our data centers. You won’t just be observing from the sidelines; you’ll be representing Amazon, building relationships across a wide variety of internal and external stakeholders.
- Continuous growth and learning: You may not be an expert in AWS when you join our company, but you will have support to become one. Benefit from direct access to industry-leading specialists, latest training materials, and courses to propel your career.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

1. Minimum one year of experience with low and medium voltage electrical and/or mechanical systems.
2. Basic understanding of industrial control systems and field signals.
3. Ability to read and interpret technical drawings and specifications.
4. Language Skills: Fluent in English and Conversational in Japanese.

1. One year of experience working in a data center or mission-critical environment.
2. ISA Certified Controls System Technician (CCST) Level I or higher certification (equivalent).
3. Basic knowledge of network design, low-voltage cabling (copper/fiber), and building automation systems.
4. Understanding of data center infrastructure and operations.
5. Electrical license or trade certification.
6. Bilingual (English and Japanese)

急成長する組織で、データサイエンス・アルゴリズムのスキルを武器に物流に変革を起こしませんか？
アマゾンジャパン トランスポーテーション部門では、Applied Scientistとして、物流ネットワークの最適化・モニタリングに必要なAlgorithm/Heuristicモデル・ソリューションの構築を主導するSenior Applied Scientistを募集します。
Key job responsibilities
• 複雑でBusiness Impactの大きな課題に対するモデル・ソリューションを提供します。アーキテクチャレベルから設計し、必要に応じて他のエンジニアリングチームと協力して行います。
• Networkチーム専属かつ最初のScientistとして、前例のない取り組みに果敢に挑み、ステークホルダーと効果的に連携する必要があります。Tech・Biz両方のManagerとともにロードマップを確立し、ビジネスニーズを満たすソリューションを提供します。ドメインに対する学習意欲と、フルスタックサイエンティスト・エンジニアとして手を動かすことが必要になります。
• ネットワークオペレーション上の基準(正確性、効率性など)や運用上の基準(品質、一貫性、信頼性など)を確立するためのメカニズムをManagerとともに構築します。ユーザーであるネットワークチームに、分析結果を専門用語に頼ることなく効率的に伝えていく必要があります
• 戦略的に考え、トレードオフを行う必要があります。あなたの決定は、Amazonの物流ネットワークに大きな影響を与えます
• アイデアを効果的に伝える必要があり、あらゆるタイプのステークホルダーに対して口頭および文章で伝えることが出来ます。戦略的な文書から、作成したツールの使い方等といった運用上重要な文章まで、あらゆるスタックの文章を作成します。
• 限られたガイダンスの下で、プロジェクトをリードする必要があります。
As the dedicated and first Scientist for the Network team, you will boldly take on unprecedented initiatives and effectively engage with stakeholders. Work with both tech and business managers to establish a roadmap and deliver solutions that meet business needs. A strong learning appetite for the domain and ability to be a full-stack scientist/engineer are required.
Collaborate with managers to establish mechanisms that set network operation metrics (accuracy, efficiency, etc.) and operational standards (quality, consistency, reliability, etc.). You will need to efficiently communicate analysis results to the user network team without relying on specialized terminology.Ability to effectively communicate ideas, both verbally and in writing, to all types of stakeholders. You will produce content ranging from strategic documents to operational guides on using your developed tools across the stack.
Lead projects with limited guidance.A day in the life
• 10:00 出勤。自分がLeadしているプロジェクトのコードを書く
• 10:30 Data Engineerのの同僚が実装した新しい最適化ツールの説明を受ける。前から欲しかったBeam Search Bandwith Scheduler機能がついており感動
• 11:00 ネットワーク最適化シミュレーションのコードを設計。Notebookで実行し、午前中の仕事は終了
• 12:00 ランチ。今週の週替わりメニューのタンドリーチキンを初めて食べてみる。エキゾチック！
• 13:30 Scrum Daily Meeting。同僚の進捗を確認しつつ情報交換。シミュレーションの改良に別プロジェクトの知見が使えそう
• 14:00 Biz sideとフラッシュディスカッション。実装アイデアについて目線合わせ
• 14:30 肩が凝ったので会社でマッサージの施術を受ける。最高
• 15:00 一旦退社。残りは家で
• 16:00 シミュレーションの結果を確認。最適化エンジンはBayesでよさそうだけど、探索空間は要検討。いったん大域探索のために分散並列処理を書く
• 18:00 明日のProject Weeklyの準備。いくつかfigureを作成し、自分の進捗をNotebookに保存
• 18:30 コードレビュー。コメントをいくつか付けてApprove
• 19:30 お仕事終了About the team
弊チームはAlgorithm / Data Scienceソリューションを提供しており、主なミッションは以下の3つです。
• 1: 幹線輸送情報を包括的に管理・分析するための、大規模なData Martの改修・維持管理
• 2: 上記1のデータを利用した最適化・機械学習系アルゴリズムソリューションの提供
• 3: 上記1のデータを利用したBusiness Insight導出用のData Pipeline・Dashboardソリューションの提供
Overhauling and maintaining a large-scale Data Mart to comprehensively manage and analyze long-haul transportation data.Delivering optimization and machine learning-based algorithmic solutions utilizing the data from the above Data Mart.The machine learning-based solutions we have started providing just over a year ago have become a rapidly growing and highly anticipated area.

- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language

Key job responsibilities
• Lead data-driven presentations to executive stakeholders, translating complex analytics into actionable business insights and strategic recommendations
• Partner with internal stakeholders to gather requirements and deliver comprehensive solutions
• Collaborate with Data Engineering teams to prioritize and define AMZL Japan's data and BI development needs
• Work with scientists, global supply chain, transportation, and logistics teams to identify new BI capabilities and projects
• Conduct deep-dive investigations into operations and business challenges, identifying opportunities and leading implementation
• Analyze large datasets to uncover trends in last-mile logistics, producing solid analysis reports with actionable recommendations
• Develop queries and visualizations for both ad-hoc requests and ongoing reporting needs

- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Key job responsibilities
• Lead and execute end-to-end network capacity planning and deployment strategies across multiple data centers in the Japan Korea region
• Spearhead cross-functional collaboration with Network Engineering, Supply Chain, Procurement, and Technical Program Management teams to ensure seamless capacity execution
• Manage and prioritize multiple high-priority projects simultaneously while maintaining attention to detail
• Develop and implement risk management strategies to mitigate potential deployment challenges
• Design and execute automation and innovation initiatives in network scaling processes to improve efficiency
• Monitor and ensure compliance with local regulations and AWS global standards
• Establish and maintain standardized processes for network scaling projects while maintaining flexibility for region-specific requirements
• Build and mentor a team of network deployment planners and coordinate with local installation teams
• Drive project timeline adherence while maintaining AWS's high standards for quality and safety
• Conduct capacity forecast analysis and coordinate with stakeholders to ensure physical infrastructure resources align with business demands
• Lead continuous improvement initiatives in network deployment methodologies and processes
• Establish and maintain relationships with third-party vendors and contractors to ensure project delivery excellence
• Develop and update documentation for network deployment standards specific to the regionTravel requirement: Up to 20% travel across the region's Availability Zones
This role requires someone who can thrive in ambiguity, demonstrate strong leadership skills, and maintain AWS's culture of innovation while delivering results in a fast-paced environment.A day in the life
*Project Management:*
• Own end-to-end network capacity planning and deployment strategies across multiple data centres in the APAC region.
• Drive cross-functional collaboration with Network Engineering, Supply Chain, Procurement, and Technical Program Management teams to ensure seamless capacity execution.
*People Management:*
• Lead and mentor a team of network planners and coordinate with local installation teams.
• Drive performance management processes including annual reviews, promotion cycles and development plans for direct reports while maintaining Amazon's high bar for talent
• Mentor and coach team members to build a strong leadership pipeline and support career growth within AWS
*Program Management & Continuous Improvement:*
• Manage relationships with third-party vendors and contractors to ensure project delivery excellence
• Analyse capacity forecasts and coordinate with stakeholders to ensure physical infrastructure
resources align with business demandsDiverse 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.
Why AWS?Inclusive Team CultureMentorship & 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

• Bachelor’s degree in computer science, Engineering, or related technical field
• 7+ years of experience in data center networking and infrastructure planning or 5+ years of experience managing large-scale infrastructure deployments
• 3+ years of people management experience
• Strong understanding of network architecture, structured cabling infrastructure and fiber solutions
• Experience in managing complex projects with multiple stakeholders

• Master's degree in relevant technical field
• Professional certifications in Project Management (PMP) or ITIL
• Experience with cloud infrastructure and network automation tools
• Demonstrated track record of process improvement and automation initiatives

As an AI/ML Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing scalable, secure, and cost-effective AI/ML, Generative AI and Agentic AI solutions that leverage AWS services. Working at the intersection of innovation and enterprise requirements, you'll architect production-grade solutions that are reliable, well-governed, and compliant with industry standards. Your expertise will be crucial in helping organizations build responsible AI practices, from traditional ML to advanced Generative AI and Agentic AI systems, while implementing robust governance frameworks and secure AI pipelines that scale efficiently.AWS Global Services
Key job responsibilities
- Build and maintain technical trusted advisor relationships with influential technical decision-makers to drive successful adoption and deployment of AWS services, with particular focus on enterprise-grade AI/ML architectures, Generative AI solutions, and autonomous agent systems.- Serve as a thought leader in the AI/ML space by developing compelling technical content and practical implementations showcasing modern AI architectures. Create reference architectures, workshops, and demos that highlight integration patterns for LLMs, RAG systems, autonomous agents, and MLOps best practices. Share insights through AWS Blogs, public speaking events, and technical communities.This role can be located in either Singapore, Indonesia, Malaysia, Philippines, Thailand or VietnamAbout the team
Diverse Experiences
Amazon 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.Why AWS
Work/Life BalanceMentorship and 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.

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- 10+ years of combined experience in AI/ML and related technologies, with deep expertise in traditional machine learning and deep learning. Must have experience building production-grade AI systems, complemented by practical knowledge of modern Generative AI technologies (LLMs, foundation models, RAG systems) and autonomous agent frameworks. Strong background in AI architecture patterns and MLOps practices, with demonstrated ability to design and deploy enterprise-grade AI solutions at scale.

- Experience in a technical role within a sales organization
- Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional or Cloud DevOps Engineering)
- Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field, with research or practical experience in emerging AI technologies. Published work or significant contributions to AI/ML open-source projects, particularly in Generative AI or autonomous systems, would be highly valued.