דרושים מנהל חשבון טכני ב-אמזון ב-China, Hong Kong, Hong Kong Island

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 industry business and IT Advisory professional, you will be responsible for:2. Leading cloud operations transformations, including the design of cloud operating models, organizational change management strategies, FinOps implementations, and cloud governance frameworks.3. Driving enterprise transformations leveraging cloud and emerging technologies through program management, value realization strategies, and cloud strategy development.4. Spearheading data and AI transformations, with a focus on Generative AI advisory for delivery, user adoption, operations transformation, and AI governance.5. Orchestrating large-scale cloud migration and modernization plans, aligning application portfolios with business priorities and architecting data center exit strategies.6. Cultivating strategic relationships with C-suite executives and key stakeholders to become a trusted advisor on cloud transformation initiatives.A day in the life
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, 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.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of experience in management consulting or internal technology advisory roles, with minimum 2 completed projects in any of the following industries: Financial Services, IT, Telecommunications, Media, Healthcare, Manufacturing, or Retail
- 3+ years experience in enterprise cloud transformation initiatives involving C-suite executives with at least 1 project from the following industries: Financial Services, IT, Telecommunications, Media, Healthcare, Manufacturing, or Retail
- 3+ years experience working cross-functional with teams of 10+ members each, managing complex programs spanning at least 2 distinct organizations per program

As a Software Development Engineer, you will play a role in the design, implementation and deployment of large-scale and complex software systems. You will get to deliver innovative solutions to challenging problems. You will communicate your ideas effectively to achieve the right outcome for your team and customer. You enjoy collaborating with others to increase the effectiveness of the overall team.

- 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

An Integration and Automation Engineer in Project Kuiper - MAC Software Development team is responsible for (1) Integration of the the MAC sub-system with the control-plane, data-plane and radio subsystems of the satellite payload and ground systems, and (2) Test Automation for driving the MAC-SW running on Kuiper payload HW and the RF instrumentation and test set ups (VSA, VNA, VSGs, Satellite Channel Emulators, anechoic chamber control etc.). The engineer will develop integration and test plans working closely with systems engineering, software engineering and hardware engineering and RF integration teams, and develop software in Python/C/C++/LabView for triggering system use cases, executing tests, collecting results and generating reports.Ideal candidate will have integration and test automation experience one or more areas of cellular wireless communication, optical fiber communications, satellite communications switching and routing, industrial control systems, aerospace or instrumentation engineering. Strong scripting skills required in Python and experience with exposure to LabView or similar. Experience of using RF test equipment is desirable. Experience with developing SW C/C++ will be desirable.Export Control Requirement
Key job responsibilities
- Software development in Python/LabView/C/C++/Rust- Develop integration and test automation for driving the MAC-SW running on Kuiper payload HW and the RF instrumentation and test set ups (VSA, VNA, VSGs, Satellite Channel Emulators, anechoic chamber control etc.), for triggering system use cases, executing tests, collecting results and generating reports.

- 4+ years of non-internship professional software development testing experience
- 2+ years of test automation frameworks and tools building experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

- Knowledge of overall system architecture, scalability, reliability, and performance in a database environment
- 4+ years of test automation frameworks and tools building experience
- Experience debugging, diagnosing, and troubleshooting complex, production software issues

*HK visa sponsorship provided*Every day will bring new and exciting challenges on the job while you:
- Provide detailed reviews of service disruptions, metrics, detailed prelaunch planning
- Champion and advocate for customer requirements within AWS (e.g. feature request)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

- Being highly technical and analytical, possessing 5 years of technical support or consulting experience.
- Bilingual in Cantonese and English.
- Passion with a high learning drive.
- Ability to tackle various tasks and projects in a fast-moving environment.
- Experience with operational parameters and troubleshooting across two or more of the following technical domains: Web3, GenAI, AI/ML, Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development in a distributed systems environment.

Every day will bring new and exciting challenges on the job while you:
- Provide detailed reviews of service disruptions, metrics, detailed prelaunch planning
- Champion and advocate for customer requirements within AWS (e.g. feature request)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

- Being highly technical and analytical, possessing 5 years of technical support or consulting experience.
- Bilingual in Cantonese and English.
- Passion with a high learning drive.
- Ability to tackle various tasks and projects in a fast-moving environment.
- Experience with operational parameters and troubleshooting across two or more of the following technical domains: Web3, GenAI, AI/ML, Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development in a distributed systems environment.

Every day will bring new and exciting challenges on the job while you:
- Provide detailed reviews of service disruptions, metrics, detailed prelaunch planning
- Champion and advocate for customer requirements within AWS (e.g. feature request)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

- 3+ years of technical engineering experience
- 5+ years of experience in design/implementation/operations/consulting with distributed applications
- Experience with operational parameters and troubleshooting across two or more of the following technical domains: GenAI, AI/ML, Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development in a distributed systems environment

- Experience as a technical lead, internally or externally in a customer facing role
- Proficiency in professional oral and written communication, with a record of presenting to audiences containing one or more decision-makers
- Master’s Degree or PhD in Engineering or a related STEM field
- Proven experience working with large enterprise customers
- Background in a 24x7 operational services or support environment
- Track record in influencing management in technical, operational and strategic decisions
- Hands-on experience with AWS services and/or other cloud offerings

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.As a founding member of the core team, you will apply your deep coding, modeling and statistical knowledge to concrete problems that have broad cross-organizational, global, and technology impact. Your work will focus on retrieving, cleansing and preparing large scale datasets, training and evaluating models and deploying them to production where we continuously monitor and evaluate. You will work on large engineering efforts that solve significantly complex problems facing global customers. You will be trusted to operate with complete independence and are often assigned to focus on areas where the business and/or architectural strategy has not yet been defined. You must be equally comfortable digging in to business requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions.

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.