Area Security Manager Global Corporate jobs at Amazon in Japan

Key job responsibilities
As a Software Development Engineer, you will be responsible for owning and driving customer facing features for the Kids experience on across multiple platform such as Fire TV and Tablet. You will own software systems from inception to delivery and beyond. You will have an opportunity to design, architect and build innovative consumer products used every day by people you know.A day in the life
In this role, you'll leverage your experience as a Software Engineer to solve difficult technical problems. You'll invent, design and build software that solves the challenges that kids and their parents face day-to-day. You'll work closely with your leadership and product management stakeholders to design simple solutions. You'll help to maintain our production software in the field and you'll identify our pain points and drive your team to solve them. You'll help make your team better, more efficient, and a more enjoyable place to work.

- 2+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

- 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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

AWS Global ServicesKey job responsibilitiesSell consulting engagements – that can span from short on-site projects proving the value of AWS services to massive cloud migration projects that include the movement of thousands of applications and the automation of the cloud infrastructure to house them.
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

· Highly technical and analytical, progressive technology implementation experience
· Excellent customer relationship management, sales, delivery experience and collaboration skills
· Consulting practice leadership
· Deep understanding of infrastructure-as-a-service (IaaS) cloud computing transition challenges
· Native level of Japanese fluency and business-level English proficiency are required

· Meets/exceeds Amazon’s functional/technical depth and complexity for this role
· Visible IT Industry thought leadership on relevant topics related to enterprise IT infrastructure
· Vertical industry sales and delivery experience of contemporary services and solutions in Automotive or Financial Services
· Experience with design of modern, scalable delivery models for technology consulting services
· Use of AWS services in distributed environments with Microsoft, IBM, Oracle, HP, SAP etc.

and applications, enterprise application migrations, HPC amongst many others.
A day in the life
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

- 7+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience developing software code in one or more programming languages (java, python, etc.)
- Strong verbal and written communication skills with stakeholders (Japanese language preferred along with English as second language)

- Experience implementing AWS services in a variety of distributed computing environments
- Experience in automation through devops scripting (e.g. shell, python, ruby, powershell)
- Experience with CloudFormation, Chef, Puppet, Salt, or Ansible in production environments

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

Key job responsibilities
EXPERTISE· Possesses a deep knowledge of project management best practices and how to apply them in an effective yet pragmatic way across large, complex projects.
· Understanding of technology principles and services including infrastructure, business applications, data management, security, application platforms and consumer facing technology.COMMUNICATION
· Interfaces with various customer and internal AWS stakeholders which consists of senior leadership teams (C-level execs, SVP/VP, Directors) and project level resources such as SMEs.
· Demonstrates the ability to understand the operating styles of others as well as team/client relationships, team dynamics, and adjusts behavior accordingly to succeed.
· Excellent presentation, communication (oral & written), and relationship building skillsTEAMING
· Team player who effectively integrates, motivates and builds relationships with cross-functional team members (local or remote), sponsors, key stakeholders, executives, and other individuals or organizations involved with or affected by the project.
· Excellent people management skills, including the ability to influence, negotiate and achieve results through others who are not direct reports
· You be required to travel to client locations when needed.
A day in the life
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

- 2+ years of leading multiple Agile teams (like Scrum Masters, Product Owners) concurrently or at scale experience
- 7+ years of leading and delivering enterprise-level IT engagements experience
- Bachelor's degree in STEM field
- Knowledge of the value proposition of the public cloud and cloud engagement delivery (IaaS, PaaS, SaaS)
- Experience in leading multiple Agile teams (like Scrum Masters, Product Owners) concurrently or at scale
- Experience in leading and delivering enterprise-level IT engagements

- 5+ years of delivering customer engagements in a professional services role experience
- active project management certification (e.g., APM, CSM, PMI-ACP, PRINCE2)
- AWS certification
- Experience in delivering customer engagements in a professional services role
- Experience with Agile and project management toolsets like Jira, Rally, VersionOne or Taiga
- Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent

Key job responsibilities
Key job responsibilities
• Ability to architect and design right solutions starting with broadly defined problems
• Provide technical mentorship/leadership to other engineers
• Drive best practices and engineering excellence
• Development of code in object oriented languages like Java and C++.

- Bachelor's degree in computer science or equivalent
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- Experience as a mentor, tech lead or leading an engineering team
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience