What Jobs are available for Data Storage in Hong Kong?

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.

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

• Office hours duty in data center operations
• Capacity landing and decommissioning according to process guideline
• Run rack to rack cabling include fiber and copper cables upon Amazon standards.
• Rack cabling coordination and quality control
• Innovate and contribute from day to day operation experiences to improve operation efficiency
• Maintain proper media operations according to process guideline
• Site management and maintain tidiness in operation areas
• Assist Hardware Break-fix and troubleshooting according to process guideline

A day in the life

You will experience a typical day of DCO in Amazon with

• Take ownership of technical issues, utilizing cross-team collaboration when needed to drive resolution
• strive for operations excellence and innovate improvement ideas
• Use ticket system to prioritize and track the installation, diagnosis, and hardware or network issues
• Maintain service level agreements through the rapid response to emergency issues

Reasons you will love working in an Amazon Data Center:

• Diverse and inclusive culture
• Professional development opportunity through hands-on training and learning on wide variety of systems, career advancement within AWS Data Center
• Ability to have high degree of ownership to innovate and scale ideas across Amazon Data Centers world-wide

About The Team
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.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Basic Qualifications

• 1+ years of computer hardware experience, including troubleshooting and repairing experience
• Bachelor's degree in IT, computer science or equivalent
• Knowledge of network cabling, optic types, and test equipment

Preferred Qualifications

• 1+ years of data center experience
• Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
• Experience summarizing and communicating important data

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company
- Amazon Data Services Hong Kong Limited - G43

Job ID: A

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.

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

• Office hours duty in data center operations
• Capacity landing and decommissioning according to process guideline
• Run rack to rack cabling include fiber and copper cables upon Amazon standards.
• Rack cabling coordination and quality control
• Innovate and contribute from day to day operation experiences to improve operation efficiency
• Maintain proper media operations according to process guideline
• Site management and maintain tidiness in operation areas
• Assist Hardware Break-fix and troubleshooting according to process guideline

A day in the life

You will experience a typical day of DCO in Amazon with

• Take ownership of technical issues, utilizing cross-team collaboration when needed to drive resolution
• strive for operations excellence and innovate improvement ideas
• Use ticket system to prioritize and track the installation, diagnosis, and hardware or network issues
• Maintain service level agreements through the rapid response to emergency issues

Reasons you will love working in an Amazon Data Center:

• Diverse and inclusive culture
• Professional development opportunity through hands-on training and learning on wide variety of systems, career advancement within AWS Data Center
• Ability to have high degree of ownership to innovate and scale ideas across Amazon Data Centers world-wide

About The Team
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.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Basic Qualifications

• 1+ years of computer hardware experience, including troubleshooting and repairing experience
• Bachelor's degree in IT, computer science or equivalent
• Knowledge of network cabling, optic types, and test equipment

Preferred Qualifications

• 1+ years of data center experience
• Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
• Experience summarizing and communicating important data

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we're looking for talented people who want to help.

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

• Office hours duty in data center operations
• Capacity landing and decommissioning according to process guideline
• Run rack to rack cabling include fiber and copper cables upon Amazon standards.
• Rack cabling coordination and quality control
• Innovate and contribute from day to day operation experiences to improve operation efficiency
• Maintain proper media operations according to process guideline
• Site management and maintain tidiness in operation areas
• Assist Hardware Break-fix and troubleshooting according to process guideline

A day in the life

You will experience a typical day of DCO in Amazon with

• Take ownership of technical issues, utilizing cross-team collaboration when needed to drive resolution
• strive for operations excellence and innovate improvement ideas
• Use ticket system to prioritize and track the installation, diagnosis, and hardware or network issues
• Maintain service level agreements through the rapid response to emergency issues

Reasons you will love working in an Amazon Data Center:

• Diverse and inclusive culture
• Professional development opportunity through hands-on training and learning on wide variety of systems, career advancement within AWS Data Center
• Ability to have high degree of ownership to innovate and scale ideas across Amazon Data Centers world-wide

About the team

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.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

• 1+ years of computer hardware experience, including troubleshooting and repairing experience
• Bachelor's degree in IT, computer science or equivalent
• Knowledge of network cabling, optic types, and test equipment

• 1+ years of data center experience
• Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
• Experience summarizing and communicating important data

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Key Responsibilities

• Report to Head of Information and Communication Technology (ICT).
• Design and build the best-in-class technical infrastructure for delivering AI supercomputing systems according to the required technical architecture, performance, resilience, security, energy efficiency and service levels.
• Configure, operate and maintain the storage and data backup infrastructure of the AI supercomputing systems.
• Develop and maintain storage and data backup infrastructure policy, standards and procedures of AI supercomputing systems to align with industry standards, frameworks and good practices.
• Collaborate with storage and data backup infrastructure suppliers to optimise AI frameworks and their operational environment and libraries to maximise performance and effectiveness for adopting the AI supercomputing systems.
• Manage technical infrastructure outsourcing services and their contractual agreements, implement effective measures to improve effectiveness,compliance and quality of the service delivery, manage the relationship with the outsourcing partners.
• Define storage and data backup infrastructure technical requirements and interconnect capabilities to optimise for the operations and performance of AI supercomputing systems.
• Conduct performance analysis, benchmarking and modeling to identify performance bottlenecks, optimise system parameters and guide the technical infrastructure enhancements.
• Evaluate emerging AI supercomputing technologies, including GPU processor, network fabrics, storage and interconnects for the continuous advancement of AI supercomputing systems based on technical requirements, performance characteristics and cost considerations.
• Collaborate with subject domain experts to understand the specific requirements of scientific research and data-intensive workloads for using the AI supercomputing systems and propose appropriate technical infrastructure enhancements to manage the workloads.
• Provide necessary support to conduct risk assessment, evaluate infrastructure control effectiveness and mitigate associated risks.
• Monitor and analyse technical infrastructure events and alerts; identify and respond to infrastructure related risks, incidents and breaches.
• Stay up-to-date with the latest advancements in AI supercomputing hardware, software and industry trends to guide future infrastructure design and technology adoption.
• Provide appropriate technical guidance, training and support for effective use of the AI supercomputing systems.
• Prepare management information, key matrices and reports for continuous improvement.

Requirements

• 10+ year proven experience as storage and data backup infrastructure specialist, preferably in AI supercomputing environment.
• Experience in AI supercomputing storage and data backup infrastructure design and implementation.
• Experience in designing and optimising AI supercomputing infrastructure and systems for business, scientific, research, or data-intensive applications.
• Experience in adopting hardware acceleration technologies such as GPU and NPU.
• Understanding of performance analysis and optimization techniques for parallel computing, including profiling, tracing, and performance counters.
• Familiarity with industry-standard storage interconnect, fabrics design and their impact on performance of AI supercomputing systems.
• Knowledge of parallel programming models and frameworks and their application to AI supercomputing workloads.
• Experience with AI supercomputing software stack components, such as compilers, runtime systems, job schedulers, and development libraries.
• Experience in using deep learning framework such as TensorFlow, PyTorch, Caffee.
• Understanding of programming languages such as Python, Java, C++, R and CUDA for building and implementing AI systems.
• Good problem-solving abilities and the ability to analyse and address complex performance and scalability challenges.
• Ability to adapt to a fast-paced and rapidly evolving technological landscape.
• Strong communication and collaboration skills to work effectively with cross-functional teams and subject domain experts.
• Proficiency in written and spoken English and Chinese.
• Passion with AI technical architecture, infrastructure and systems.

We offer competitive package to the right candidate. Interested party please apply on or before 31 October 2025 in confidence with resume in Word document, stating present and expected salary, and available date and quote the reference by email to: (Please mark the ref. no. on the email header).

Personal data collected will be treated in the strictest confidence and only be used for recruitment-related purpose.

Applicants are encouraged to submit their applications as soon as possible. The review of applications will continue until post is filled.

Key Responsibilities:

• Report to Head of Information and Communication Technology (ICT).
• Design and build the best-in-class technical infrastructure for delivering AI supercomputing systems according to the required technical architecture, performance, resilience, security, energy efficiency and service levels.
• Configure, operate and maintain the storage and data backup infrastructure of the AI supercomputing systems.
• Develop and maintain storage and data backup infrastructure policy, standards and procedures of AI supercomputing systems to align with industry standards, frameworks and good practices.
• Collaborate with storage and data backup infrastructure suppliers to optimise AI frameworks and their operational environment and libraries to maximise performance and effectiveness for adopting the AI supercomputing systems.
• Manage technical infrastructure outsourcing services and their contractual agreements, implement effective measures to improve effectiveness,compliance and quality of the service delivery, manage the relationship with the outsourcing partners.
• Define storage and data backup infrastructure technical requirements and interconnect capabilities to optimise for the operations and performance of AI supercomputing systems.
• Conduct performance analysis, benchmarking and modeling to identify performance bottlenecks, optimise system parameters and guide the technical infrastructure enhancements.
• Evaluate emerging AI supercomputing technologies, including GPU processor, network fabrics, storage and interconnects for the continuous advancement of AI supercomputing systems based on technical requirements, performance characteristics and cost considerations.
• Collaborate with subject domain experts to understand the specific requirements of scientific research and data-intensive workloads for using the AI supercomputing systems and propose appropriate technical infrastructure enhancements to manage the workloads.
• Provide necessary support to conduct risk assessment, evaluate infrastructure control effectiveness and mitigate associated risks.
• Monitor and analyse technical infrastructure events and alerts; identify and respond to infrastructure related risks, incidents and breaches.
• Stay up-to-date with the latest advancements in AI supercomputing hardware, software and industry trends to guide future infrastructure design and technology adoption.
• Provide appropriate technical guidance, training and support for effective use of the AI supercomputing systems.
• Prepare management information, key matrices and reports for continuous improvement.

Requirements:

• 10+ year proven experience as storage and data backup infrastructure specialist, preferably in AI supercomputing environment.
• Experience in AI supercomputing storage and data backup infrastructure design and implementation.
• Experience in designing and optimising AI supercomputing infrastructure and systems for business, scientific, research, or data-intensive applications.
• Experience in adopting hardware acceleration technologies such as GPU and NPU.
• Understanding of performance analysis and optimization techniques for parallel computing, including profiling, tracing, and performance counters.
• Familiarity with industry-standard storage interconnect, fabrics design and their impact on performance of AI supercomputing systems.
• Knowledge of parallel programming models and frameworks and their application to AI supercomputing workloads.
• Experience with AI supercomputing software stack components, such as compilers, runtime systems, job schedulers, and development libraries.
• Experience in using deep learning framework such as TensorFlow, PyTorch, Caffee.
• Understanding of programming languages such as Python, Java, C++, R and CUDA for building and implementing AI systems.
• Good problem-solving abilities and the ability to analyse and address complex performance and scalability challenges.
• Ability to adapt to a fast-paced and rapidly evolving technological landscape.
• Strong communication and collaboration skills to work effectively with cross-functional teams and subject domain experts.
• Proficiency in written and spoken English and Chinese.
• Passion with AI technical architecture, infrastructure and systems.

Key Responsibilities

• Report to Head of Information and Communication Technology (ICT) and team lead.
• Design and build the best-in-class technical infrastructure for delivering AI supercomputing systems according to the required technical architecture, performance, resilience, security, energy efficiency and service levels.
• Configure, operate and maintain the storage and data backup infrastructure of the AI supercomputing systems.
• Develop and maintain storage and data backup infrastructure policy, standards and procedures of AI supercomputing systems to align with industry standards, frameworks and good practices.
• Collaborate with storage and data backup infrastructure suppliers to optimise AI frameworks and their operational environment and libraries to maximise performance and effectiveness for adopting the AI supercomputing systems.
• Manage technical infrastructure outsourcing services and their contractual agreements, implement effective measures to improve effectiveness,compliance and quality of the service delivery, manage the relationship with the outsourcing partners.
• Define storage and data backup infrastructure technical requirements and interconnect capabilities to optimise for the operations and performance of AI supercomputing systems.
• Conduct performance analysis, benchmarking and modeling to identify performance bottlenecks, optimise system parameters and guide the technical infrastructure enhancements.
• Evaluate emerging AI supercomputing technologies, including GPU processor, network fabrics, storage and interconnects for the continuous advancement of AI supercomputing systems based on technical requirements, performance characteristics and cost considerations.
• Collaborate with subject domain experts to understand the specific requirements of scientific research and data-intensive workloads for using the AI supercomputing systems and propose appropriate technical infrastructure enhancements to manage the workloads.
• Provide necessary support to conduct risk assessment, evaluate infrastructure control effectiveness and mitigate associated risks.
• Monitor and analyse technical infrastructure events and alerts; identify and respond to infrastructure related risks, incidents and breaches.
• Stay up-to-date with the latest advancements in AI supercomputing hardware, software and industry trends to guide future infrastructure design and technology adoption.
• Provide appropriate technical guidance, training and support for effective use of the AI supercomputing systems.
• Prepare management information, key matrices and reports for continuous improvement.

Requirements

• 10+ year proven experience as storage and data backup infrastructure specialist, preferably in AI supercomputing environment.
• Experience in AI supercomputing storage and data backup infrastructure design and implementation.
• Experience in designing and optimising AI supercomputing infrastructure and systems for business, scientific, research, or data-intensive applications.
• Experience in adopting hardware acceleration technologies such as GPU and NPU.
• Understanding of performance analysis and optimization techniques for parallel computing, including profiling, tracing, and performance counters.
• Familiarity with industry-standard storage interconnect, fabrics design and their impact on performance of AI supercomputing systems.
• Knowledge of parallel programming models and frameworks and their application to AI supercomputing workloads.
• Experience with AI supercomputing software stack components, such as compilers, runtime systems, job schedulers, and development libraries.
• Experience in using deep learning framework such as TensorFlow, PyTorch, Caffee.
• Understanding of programming languages such as Python, Java, C++, R and CUDA for building and implementing AI systems.
• Good problem-solving abilities and the ability to analyse and address complex performance and scalability challenges.
• Ability to adapt to a fast-paced and rapidly evolving technological landscape.
• Strong communication and collaboration skills to work effectively with cross-functional teams and subject domain experts.
• Proficiency in written and spoken English and Chinese.
• Passion with AI technical architecture, infrastructure and systems.

We offer competitive package to the right candidate. Interested party please click "Apply Now" to apply on or before 10 October 2025 in confidence with full resume, stating present and expected salary, and available date and quote the reference.

Applicants who do not hear from us by 31 October 2025may assume that their applications are unsuccessful.

Further information about the Cyberport is available at

Personal data collected will be treated in the strictest confidence and only be used for recruitment-related purpose.

Key Responsibilities:

• Report to Head of Information and Communication Technology (ICT).
• Design and build the best-in-class technical infrastructure for delivering AI supercomputing systems according to the required technical architecture, performance, resilience, security, energy efficiency and service levels.
• Configure, operate and maintain the storage and data backup infrastructure of the AI supercomputing systems.
• Develop and maintain storage and data backup infrastructure policy, standards and procedures of AI supercomputing systems to align with industry standards, frameworks and good practices.
• Collaborate with storage and data backup infrastructure suppliers to optimise AI frameworks and their operational environment and libraries to maximise performance and effectiveness for adopting the AI supercomputing systems.
• Manage technical infrastructure outsourcing services and their contractual agreements, implement effective measures to improve effectiveness,compliance and quality of the service delivery, manage the relationship with the outsourcing partners.
• Define storage and data backup infrastructure technical requirements and interconnect capabilities to optimise for the operations and performance of AI supercomputing systems.
• Conduct performance analysis, benchmarking and modeling to identify performance bottlenecks, optimise system parameters and guide the technical infrastructure enhancements.
• Evaluate emerging AI supercomputing technologies, including GPU processor, network fabrics, storage and interconnects for the continuous advancement of AI supercomputing systems based on technical requirements, performance characteristics and cost considerations.
• Collaborate with subject domain experts to understand the specific requirements of scientific research and data-intensive workloads for using the AI supercomputing systems and propose appropriate technical infrastructure enhancements to manage the workloads.
• Provide necessary support to conduct risk assessment, evaluate infrastructure control effectiveness and mitigate associated risks.
• Monitor and analyse technical infrastructure events and alerts; identify and respond to infrastructure related risks, incidents and breaches.
• Stay up-to-date with the latest advancements in AI supercomputing hardware, software and industry trends to guide future infrastructure design and technology adoption.
• Provide appropriate technical guidance, training and support for effective use of the AI supercomputing systems.
• Prepare management information, key matrices and reports for continuous improvement.

Requirements:

• 10+ year proven experience as storage and data backup infrastructure specialist, preferably in AI supercomputing environment.
• Experience in AI supercomputing storage and data backup infrastructure design and implementation.
• Experience in designing and optimising AI supercomputing infrastructure and systems for business, scientific, research, or data-intensive applications.
• Experience in adopting hardware acceleration technologies such as GPU and NPU.
• Understanding of performance analysis and optimization techniques for parallel computing, including profiling, tracing, and performance counters.
• Familiarity with industry-standard storage interconnect, fabrics design and their impact on performance of AI supercomputing systems.
• Knowledge of parallel programming models and frameworks and their application to AI supercomputing workloads.
• Experience with AI supercomputing software stack components, such as compilers, runtime systems, job schedulers, and development libraries.
• Experience in using deep learning framework such as TensorFlow, PyTorch, Caffee.
• Understanding of programming languages such as Python, Java, C++, R and CUDA for building and implementing AI systems.
• Good problem-solving abilities and the ability to analyse and address complex performance and scalability challenges.
• Ability to adapt to a fast-paced and rapidly evolving technological landscape.
• Strong communication and collaboration skills to work effectively with cross-functional teams and subject domain experts.
• Proficiency in written and spoken English and Chinese.
• Passion with AI technical architecture, infrastructure and systems.

Description
We are seeking talents who can take ownership, eager to learn and self-motivated, to join our team to support AWS data centers managing all of the servers, storages and network that ensure uninterrupted services for our customers. The successful candidate shall follow Amazon Data Center processes and maintain high operational standards in supporting server and network hardware and software. They need to adapt to fast and constantly changing environment and require shift work including weekend and holiday after completion of training.

Key job responsibilities

• Learn and develop career in data center industry
• Learn and develop on operation and support processes with innovation and automation
• Incident first responder and follow call leader's instruction for hands on support
• Break-fix and troubleshooting according to process guideline
• Maintain proper media operations according to process guideline
• Capacity landing and decommissioning according to process guideline
• Site management and maintain tidiness in operation areas

Basic Qualifications

• Show interest in learning computing hardware and operation systems
• Good written and verbal communication English
• Good attention to details
• Degree / High Diploma or equivalent qualifications
• Fresh Graduate or Up to 1 year experience in server / network hardware and operation systems maintenance / troubleshooting. Fresh graduates are welcome
• Basic understanding on incidents response and prioritization.

Preferred Qualifications

• Majoring in Information Technology / Computer Science / Engineering or related disciplines is a plus but not required
• Knowledge in Computer Server Hardware
• Knowledge in Linux Operation System
• Knowledge on any operations, processes and continuous processes improvement
• Literacy in security and customer data protection

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company
- Amazon Web Services Hong Kong Limited

Job ID: A