Software Development Engineer Seller Services Tech jobs at Amazon in Japan

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.

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

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

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

Key job responsibilities- You will own and deliver new feature experiments from inception to delivery and beyond.
- You will launch features that deliver customer value and fail fast if it doesn't.
- You are responsible for the designing the architecture of software solutions.
- You will innovate on new concepts, look for ways to maximize reuse of existing services, and delivering beautiful, highly performant customer experiences.
- You will work with cross-functional, geographically diverse development teams through design, delivery and support.
- Ability to work with sensitive content, including culturally sensitive and adult content

- 3+ 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

- 3+ 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

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

Key job responsibilities
You will be responsible for championing and successfully delivering large projects and programs across Alexa. You will:
• Drive complex technical programs that power Alexa's core device connectivity, management, and interaction capabilities
• Lead cross-functional initiatives to scale our infrastructure that processes billions of daily context updates and device commands
• Own end-to-end program execution: gather and analyze requirements, coordinate and participate in technical design, build and maintain project/program plans, track progress, mitigate risks, communicate with stakeholders and ensure successful delivery
• Manage dependencies across multiple teams to optimize delivery while maintaining quality SLAs
• Partner with engineering and QA teams to design, implement, and test solutions
• Develop and track program metrics focused on: Availability, Latency, Accuracy, Quality, Cost-effectiveness, Operational excellence and progarm success
• Create and maintain program roadmaps, identifying risks and dependencies while driving mitigation strategies
• Lead operational excellence initiatives to improve developer productivity and system efficiencyA day in the life
You'll collaborate across teams to define and deliver platform features through:Program & Technical Leadership
• Partner with product, engineering, QA, and stakeholders to define and refine platform features
• Guide end-to-end feature delivery across multiple teams and systems
• Deep dive into: requirements, technical specifications and engineering implementation plans
• Drive integration between edge devices, cloud services, and consumer-facing features
• Communicate across levels informing status, blockers, and path forwardCross-functional Collaboration
• Guide diverse teams including: Product managers, Engineering teams, other program managers, Science teams
• Facilitate technical discussions, drive consensus, and decision-making
• Ensure alignment and forward progress across workstreamsExecution & Delivery
• Lead regular status updates and program reviews
• Identify and remove blocking issues
• Monitor progress against milestones
• Ensure quality standards are met throughout development
• Drive continuous improvement in delivery processes

- 7+ years of working directly with engineering teams experience
- 5+ years of technical product or program management experience
- 3+ years of software development experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience owning/driving roadmap strategy and definition

- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership