Senior Operations Manager jobs at Amazon in Japan, Tokyo

Key job responsibilities
- You will manage the development of project plans and technical solutions which may not be defined, including problem statement and resource requirements definition.
- You will influence decisions on deployment and machine performance execution strategy to senior level leadership.
- You will own the tactical planning on the installation of complex cross-functional projects with considerable impact across the functions of schedule, scope, cost and product performance. Projects may span organizations or geographies in support of a business objective, and includes the management of contractors and vendors.
- You will own the strategy of your program/product for annual planning of resources and budget, defining deployment plans of record and continuous improvement goals. This includes setting standards, driving mechanisms and delivering efficiencies across both deployment execution and machine performance, based on your own observations and the voice of the customer.
- You will own communication of program execution and performance both verbally and in writing, consolidating inputs across multiple internal cross-functional business teams.
- This is a travel-based role and you will be expected to travel to meet the requirements of your projects across North America, upwards of 75% or more.
A day in the life
In this role you will be focused on two primary lines of effort. The first is deployment project management, and the second is product ramp up support. On a daily basis you will be expected to collaborate with hardware engineering, technical program and product managers, and internal customers including site maintenance and operations teams, to ensure the product you are deploying, is both ready for deployment and capable of achieving the business requirements. You will travel to your project sites, collaborate both virtually and in person, to ensure all business stakeholders are aligned on program status.

- 5+ years of directly managing and responsible for multiple large projects experience
- Bachelor's degree
- Experience and strong technical background in relevant fields of automated or non-automated material handling equipment
- Experience managing project portfolios, budgets and decentralized resources to execute project goals.
- Experience working in a global environment while prioritizing and managing multiple responsibilities.
- Ability to travel frequently both within country up to 75% and occasional internationally (~5%).
- Experience with Microsoft Office products and applications
- Experience using CAD software (AutoCAD, REVIT, BIM 360, etc.).
- Experience with procurement of equipment.
- Experience in Robotics, Automation, distribution, manufacturing, logistics, or other warehouse environments.
- Bachelor’s Degree from an accredited university.
- Experience leading cross-functional teams/projects.
- Knowledge of Project management tools

AWS インフラストラクチャサービス (AIS)AWS インフラストラクチャサービスは、AWS のグローバル インフラストラクチャ全体の設計、計画、提供、運用を担当しています。つまり、クラウドを安定的に稼働させ続けるのが私たちの役割です。AWS のデータセンター、サーバー、ストレージ、ネットワーク、電力、冷却装置など、すべてのインフラを包括的にサポートし、お客様が必要とするイノベーションへの継続的なアクセスを確保しています。私たちは、サプライチェーンに影響を及ぼす数千もの変数を含む複雑な課題に日々取り組んでおり、この挑戦に共に立ち向かう優秀な人材を求めています。AWS Infrastructure Services (AIS)
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.アマゾン ウェブ サービス (AWS) は急速な成長を続けており、拡大するインフラストラクチャ運用チームの一員として、データセンター エンジニアを募集しています。Key job responsibilities
In this role as a Data Center Engineer, you will be responsible for the on-site management of hardware lifecycle of our IT infrastructure that includes:
● Working as part of the Operations team; whose primary responsibility is the maintenance and upkeep of the data center infrastructure.
● Your role and responsibilities include, but are not limited to, installing server racks, removing server racks, fixing various IT hardware and network components, and also responding to emergent situations that affect operations.
● Meet customer service level agreements by resolving problems, and be the first line touch point for hardware troubleshooting and technical issues.
● Perform on-call duties and participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure.
● Participate in team meetings for metric analysis and to discuss achieving daily/weekly goals.
● Have the knowledge of the policies and procedures, including safety and security, within your department, and understand the appropriate application of such knowledge.
● Contribute to documentation on technical issues through root cause analysis for operational issues that occur, and contribute to process improvement initiatives relevant to the data center environment.
● More experienced engineers may assist in training less experienced members of the team.* オペレーションチームの一員として、データセンターインフラの保守・維持を主な責務とします。
* 業務内容には、サーバーラックの設置・撤去、各種ITハードウェアやネットワーク機器の修理、運用に影響を及ぼす緊急事態への対応などが含まれます。
* 顧客とのサービスレベル契約を遵守し、ハードウェアのトラブルシューティングや技術的課題に関する第一次対応窓口を担当します。
* オンコール対応を行い、データセンター運用に携わるとともに、定期メンテナンスや変更管理作業を通じてインフラの監視を実施します。
* メトリクス分析および日次・週次目標の進捗確認のためのチームミーティングに参加します。
* 部門内の安全性やセキュリティを含むポリシーと手順を理解し、適切に実践します。
* 運用上の問題に対する根本原因分析を通じて技術文書の作成に携わり、データセンター環境の改善施策に貢献します。
* 経験豊富なエンジニアは、必要に応じて経験の浅いチームメンバーの指導を行います。A day in the life
● You will support Data Center infrastructure equipment (e.g. racks, servers, networking devices, hardware components, cables, etc.)
● You will follow the instructions ticket-based environment and work on systematic problem resolution and perform routine operation activities on hardware, or spare parts, including installing and removing server racks and fixing server hardware.
● You will perform on-call duties and will participate in Data Center operations, handling scheduled maintenance and change management activities that require monitoring of the data center infrastructure.
● Show a strong aptitude for troubleshooting and problem solving.
● You will be involved with site management and maintain tidiness in operation areas.
● Work in a rotating shift with a team of other engineers. Your standard shift hours are 10 hours with a one hour break. You work on 4 days work shifts and 3 days off in the week. Your standard work hours are 8:00-18:00, 12:00-22:00, 22:45-08:15.* データセンターのインフラ機器（ラック、サーバー、ネットワーク機器、ハードウェア部品、ケーブル等）の保守管理を行います。
* チケットシステムに基づき、サーバーラックの設置・撤去やサーバーハードウェアの修理など、ハードウェアや部品の日常的な運用作業を体系的に実施します。
* オンコール対応を含め、データセンターの運用に携わり、定期メンテナンスや変更管理作業におけるインフラ監視を行います。
* 高度なトラブルシューティングと問題解決能力を発揮します。
* サイト管理に参画し、運用エリアの5S（整理・整頓・清掃・清潔・躾）を徹底します。
* 他のエンジニアチームと交代制シフトで勤務します。シフトは1日10時間（休憩1時間含む）、週4日勤務・週3日休みの体制です。勤務時間帯は8:00～18:00、12:00～22:00、22:45～08:15のいずれかとなります。About 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
AWS が選ばれる理由
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.

● No experience in data centers is necessary, only a desire to learn. We provide all of the training.● Ability to work non-standard hours such as 10 hour shift with 1 hour break (You work on 4 days work shifts and 3 days off in the week. Your standard work hours are 8:00-18:00, 12:00-22:00, 21:45-08:15.● データセンターでの経験は不問です。学ぶ意欲のある方を歓迎します。必要な研修は全て当社で実施いたします。● 変則的な勤務時間に対応可能な方（10時間勤務・1時間休憩、週4日勤務・週3日休み） 勤務シフト：8:00～18:00、12:00～22:00、21:45～08:15

● 1+ year of networking, server, other IT experience.● IT分野（ネットワーク、サーバー管理など）での実務経験が1年以上ある方

お客様の成功のために複数の Professional Services のメンバーやAWS パートナーのメンバー、そして、グローバルの Professional Services を含む社内の多くの AWS チームや AWS パートナーを巻き込みリードする立場であり、お客様への価値提供に邁進することで技術者としての成長もできます。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 GrowthWe’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

- AWSの代表としてお客様や AWS パートナーの経営層、リーダーシップとの議論をリードできるコミュニケーション力
- 大規模システムのマイグレーションやモダナイゼーションの全体構想策定、アプリケーションアーキテクチャ策定プロジェクトでのアプリケーションアーキテクトまたはそのリーダーとしての経験
- 非機能要件策定やその実現をリードしたアーキテクト経験
- お客様・AWS パートナー・他部門を含む同僚とのビジネスレベルの日本語読解・ドキュメント作成・会話能力
- AWS 認定ソリューションアーキテクト - アソシエイト相当のAWSスキル

- お客様のビジネスアウトカムの実現に向けたプロジェクトリード経験
- クラウドに最適化された業務アプリケーションの構想検討・設計・開発のリード経験
- エンタープライズアーキテクチャの策定経験
- AWSサービスを活用したアプリケーション設計・開発リード経験
- 社内のグローバルチームとの英語によるコミュニケーション力

お客様の成功のために複数の Professional Services のメンバーやAWS パートナーのメンバー、そして、グローバルの Professional Services を含む社内の多くの AWS チームや AWS パートナーを巻き込みリードする立場であり、お客様への価値提供に邁進することで技術者としての成長もできます。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 GrowthWe’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

- AWSの代表としてお客様や AWS パートナーの経営層、リーダーシップとの議論をリードできるコミュニケーション力
- 大規模システムのマイグレーションやモダナイゼーションの全体構想策定、アプリケーションアーキテクチャ策定プロジェクトでのアプリケーションアーキテクトまたはそのリーダーとしての経験
- 非機能要件策定やその実現をリードしたアーキテクト経験
- お客様・AWS パートナー・他部門を含む同僚とのビジネスレベルの日本語読解・ドキュメント作成・会話能力
- AWS 認定ソリューションアーキテクト - アソシエイト相当のAWSスキル

- お客様のビジネスアウトカムの実現に向けたプロジェクトリード経験
- クラウドに最適化された業務アプリケーションの構想検討・設計・開発のリード経験
- エンタープライズアーキテクチャの策定経験
- AWSサービスを活用したアプリケーション設計・開発リード経験
- 社内のグローバルチームとの英語によるコミュニケーション力

Job description:Key job responsibilities
Manage a Team of 15+ and will be responsible for team output and working with stakeholders in ensuring a seamless delivery

- 2+ years of team management experience
- Knowledge of Windows desktop environment and use of Word, Excel, IE, Firefox etc.
- Experience using data to influence business decisions
- Experience an operations, project or program Manager directly managing and developing front-line managers

- Experience in quality assurance/testing/mobile industry/internet of things (IoT)
- Experience managing project delivery

* 7+ years Project/Program Management experience leading and delivering enterprise-level IT engagements in IT Professional Services or consulting organization supporting Fortune 500 customers.
* 3+ years Program Management /Engagement Management experience leading other project managers to deliver a program with multiple and concurrent projects
* 2+ years experience leading multiple Waterfall or Agile teams (e.g. Scrum Masters, Product Owners) concurrently and/or at scale
* Understands the value proposition of the public cloud and has delivered cloud engagements (IaaS, PaaS, SaaS)
* Evidence of on-going education through certifications and training

* At least one active project management certification (e.g., APM, CSM, PMI-ACP, PRINCE2)
* AWS experience and certification(s)
* Managed technical projects consisting of 8 or more people totaling over $1,000,000 budget
* Managed engagements using both Waterfall and Agile/Iterative methodologies
* Presented to C-level executives (CIO, CEO, CTO, CISO, etc.) as well as to technical subject matter experts
* Worked with a CRM tool for project management (i.e. Salesforce)
* Actively support and foster a culture of inclusion.

As an Applied Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll develop innovative solutions that summarize and detect issues, organize them using taxonomy, and pinpoint root causes within Amazon systems. Your expertise will drive the identification of responsible stakeholders and enable swift resolution. Utilizing the latest techniques, you will build an AI ecosystem that can efficiently comb over our billions of customer interactions (using a combination of media). As a part of this role, you will collaborate with a large team of experts in the field and move the state of defect elimination research forward. You should have a knack for leveraging AI to translate complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences.Key job responsibilities
- Develop ML/GenAI-powered solutions for automating defect elimination workflows
- Implement scalable and efficient scientific solutions in production environments
- Design and implement robust metrics to evaluate the effectiveness of ML/AI models
- Perform statistical analyses and statistical tests, including hypothesis testing and A/B testing
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentationA day in the life
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan

- Master's degree in computer science, machine learning, statistics, mathematics or equivalent quantitative field
- 3+ years of building deep learning or machine learning models for business application experience
- Deep knowledge in one or more areas of machine learning or deep learning
- Experience programming in Java, Python or related language