דרושים Sr Specialist Sa - Mainframe Modernization Wwso ב-אמזון ב-יפן

Key job responsibilitiesAbout the team
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

- 8+ years of progressive experience in sales, business development, consulting, or program/project/deal management
- Exceptional stakeholder management with ability to influence cross-functional stakeholders without direct authority
- Track record of executing complex, high-impact initiatives from conception to completion, with the ability to effectively prioritize and manage multiple projects
- Proven success in high-growth, entrepreneurial environments, showcasing adaptability, resilience, and the ability to thrive in ambiguous situations while delivering results

- Basic proficiency in data analytics (e.g., Tableau, QuickSight, SQL), coupled with strong analytical and quantitative problem-solving abilities

Key job responsibilities-Run Proof Of Concept to demonstrate all the functionalities of the eero solution.-Write white papers and tech notes highlighting eero’s best features and technologies.
-Test eero against competitors and put together a comprehensive “How to Test eero” guide for prospective partners outlining the best in-field and lab testing techniques.

- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- In depth knowledge of wifi and networking protocols
- Experience in designing, deploying and troubleshooting wired and wireless networks
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Fluent Japanese, Business level English

- Experience working as a Solutions Architect or Sales engineer in the networking field
- Industry level certification focusing on wireless networking (CWAP or similar).
- Proficiency with wireless packet capture tools like Wireshark, omnipeek, and Ekahau.
- Proficiency with pre and post deployment site survey tools like Ekahau.
- Proficiency with wireless speed and performance testing tools like iPerf and IxChariot.
- Comfortable in at least one scripting language and using APIs to automate workflows
- Demonstrate ability to handle multiple, competing priorities in a fast-paced environment
- Analytical – able to self-serve from existing data sources and collect new data from any source as required

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About AWSDiverse 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

- Bachelor’s degree required
- 10+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Avaya, Cisco, Genesys, Verint, NICE, Salesforce, etc.
- Hands-on technical practitioner and individual contributor
- Hands-on experience working on the design, development and deployment of contact center solutions at scale

- Computer Science, Information Systems, or Engineering background preferred; Master’s degree desired
- 10+ years of experience building call center / collaboration / telephony platforms in a Cloud or On-Premises environment, particularly building application integration capabilities for CRM/ WFM platforms
- Professional Services or Consulting experience in highly-visible customer-facing roles
- Familiarity with Amazon Connect capabilities, benefits, and required deployment skills
- Visible IT Industry thought leadership on relevant topics related to enterprise IT call centers and infrastructure.
- Enterprise call center / telecomm implementation and operations experience
- Experience implementing and optimizing AI-powered customer service solutions
- Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning
- Serverless development experience including complex integrations with Amazon Lex, Lambda, Kinesis, Dynamo DB, Bedrock and 3rd party AI services
- Software Development / DevOps experience with integrating contact center platforms, CRMs, and WFMs
- Use of AWS services in distributed environments with Microsoft, IBM, Citrix, VMware, Oracle, HP, etc.
- Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations
- Responsibility for designing, implementing and operating contact centers or telecommunication infrastructures within an enterprise environment
- AWS Certified Machine Learning Engineer – Associate, AWS Certified Machine Learning - Specialty and/or AWS Certified AI Practitioner

Key job responsibilities
• Own and architect critical technical decisions that impact Amazon Photos' long-term success and scalability• Drive innovation in areas such as cloud infrastructure, computer vision, machine learning, and distributed systems• Provide technical leadership across multiple teams, influencing architecture and engineering practices• Partner with senior leadership to define technical strategy and roadmap• Mentor engineers and leaders while raising the technical bar across the organization• Identify and solve complex technical challenges around processing, storing, and serving massive amounts of photo and video content• Champion operational excellence and engineering best practicesOwn and architect critical technical decisions that impact Amazon Photos' long-term success and scalability• Drive innovation in areas such as cloud infrastructure, computer vision, machine learning, and distributed systems• Provide technical leadership across multiple teams, influencing architecture and engineering practices• Partner with senior leadership to define technical strategy and roadmap• Mentor engineers and leaders while raising the technical bar across the organization• Identify and solve complex technical challenges around processing, storing, and serving massive amounts of photo and video content• Champion operational excellence and engineering best practices

• Bachelor's degree and/or Master's degree in Computer Science or equivalent.
• 10+ years experience in building large scale distributed systems

• Experience designing and building large-scale systems in a multi-tiered, distributed environment
• Knowledge of object-oriented design, data structures, and algorithms

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

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

In this position, you will be expected to research, design and build/train/tune models and provide recommendations in areas including but not limited to natural language processing (automatic translation, summarization, extraction) and image processing (boundary detection, image understanding, image generation).
Key job responsibilities
As an Sr. Applied Scientist, your responsibilities will be:- Work closely with other Books scientists and engineers to build, review and improve your model design proposals.
- Keep up to date with scientific development in related field

- PhD, or Master's degree and 5+ years of building machine learning models for business application experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl

- PhD in computer vision, natural language processing or equivalent quantitative field
- PhD in engineering, technology, computer science, machine learning
- Business level Japanese language skills