What Jobs are available for Storage Consultant in Hong Kong?
Showing 4 Storage Consultant jobs in Hong Kong
Storage Project Consultant
Posted today
Job Viewed
Job Description
Our Company
We're Hitachi Vantara, the data foundation trusted by the world's innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks – can focus on achieving the incredible with data.
If you've seen the Las Vegas Sphere, you've seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we're laying the foundation for our next wave of growth. We're looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data.
Job title :Storage Project Consultant
Reporting to Service Manager
Job Purpose And Description
Experience Storage Consultant provides storage design and implementation services to Hitachi enterprise customers for mission critical applications.
Successful candidates will build and upgrade systems with a mind-set towards enabling and supporting storage operations including adherence to professional project and change processes and designing infrastructure with operational objectives of availability, performance, security and utilization in mind.
As part of a project team, excellent teamwork and communication skills are expected. A successful applicant will be a good at analyzing and solving complex problems, a positive motivator, and willing to work flexible hours to meet project deadlines and to perform implementation tasks outside of normal business hours when necessary.
Responsibilities
Provide implementation services for Hitachi Block, File and Object storage, Brocade and CISCO storage and network infrastructure inclusive of production, DR and backup environments.
Provide implementation services for Veeam and Commvault backup solution.
Plan and execute data or fabric migration.
Provide implementation design where necessary.
Liaise with vendors and other teams as necessary for project implementations.
Setup monitoring and management software.
Work to professional project management and change management processes.
Conduct testing, documentation and skill transfer.
Troubleshoot problems and issues during implementation.
Ability to automate tasks with scripting may be helpful.
Profile
At least 8 years' experience within complex IT environments including storage and backup management and provisioning.
Rich experience on block, file and object storage management, provisioning and replication technologies.
Familiar with Windows, Linux, UNIX and VMware operating system.
Hitachi Vantara Certification for block, file and object storage is preferred.
Skills and experience on 3rd party storage products such as NETAPP and EMC is preferred.
Programming and stats skill is an advantage.
Fluent Cantonese and English.
Bachelor's degree is a must.
In addition to the technical skills above, the successful candidate will have clear and concise written and oral communication skills, able to provide feedback in a positive and constructive manner and able to operate effectively in a demanding environment.
Competencies
Well Written and Oral English Skills
Accountability for own and team actions
Attention to detail – producing accurate and full work in accordance with requests
Knowledge Sharing – helping to develop technical and process knowledge across the team
Strong Customer Orientation
Team player
About Us
We're a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can a make positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential.
Fostering innovation through diverse perspectives
Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.
We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.
How We Look After You
We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic.
Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.
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Manager - Storage and Data Backup (Ref#SADBE250903W)
Posted today
Job Viewed
Job Description
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.
Is this job a match or a miss?
Storage and Data Backup Manager (Ref# SADBE250911J)
Posted today
Job Viewed
Job Description
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.
Is this job a match or a miss?
Manager - Storage and Data Backup (Ref#SADBE250903W)
Posted today
Job Viewed
Job Description
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.
Is this job a match or a miss?
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