What Jobs are available for Storage Architect in Hong Kong?
Showing 5 Storage Architect jobs in Hong Kong
Senior Manager, IT Infrastructure Project Design
Posted today
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About The Role
The Senior Manager, IT Infrastructure Project Design will oversee the passive network infrastructure design requirements for new projects across APAC locations. This role involves leading projects, managing and guiding vendors and local site teams, collaborating with designers, liaising with other project team members and stakeholders, and communicating with senior management.
This role is crucial for ensuring that the passive network infrastructure requirements for projects are designed and implemented effectively across APAC locations, ensuring that projects meet the required standards and specifications.
Key Responsibilities:
- Manage the IT change management process for all project works across APAC.
- Review and change requests in collaboration with the APAC IT Infrastructure Operations Manager, and provide approval all IT project related changes
- Approve out-of-cycle change management requests for works in IT rooms as and when required.
- Review IT deployments in rooms, focusing on works that affect capacity.
- Evaluate designs for new passive IT/ network infrastructure to ensure efficient and appropriately sized spaces.
- Oversee handovers, including process and approvals, checklist creation, and approval.
- Conduct patching management software system reviews to ensure new sites have the correct inputs.
- Manage power management systems (IQ), including database building and ongoing management.
- The role does not have any direct reports but relies on leadership and management of subcontractor staff to ensure engagement, coordination and successful project delivery.
- Liaise with relevant project stakeholders and internal team members of project design to e sure coordination and engagement.
- Gather technology requirements from Tech teams to support the design aspect of new projects.
- Design all passive network infrastructure requirements by gathering requirement information from all parties.
- Estimate power consumption based on the Technology BOM for engineering design.
- Design passive network/ IT infrastructure layout, including the number of racks, frames, positions, and support decision making on cooling and power placement.
- Assess the suitability and applicability of suitable containment systems for infrastructure.
- Design passive hardware layouts for cabinet elevations, including infrastructure, and support the design for power and airflow provision.
- Design cable presentation in patch frames to ensure the shortest patching is achievable.
- Design cabling requirements for switch, router, and Wi-Fi replacements, including rack positions, and assess power and cooling capacities to ensure smooth changeover.
Role Requirements:
- Approximately 10 years of experience in IT infrastructure project design within a similar environment.
- Degree level qualification in IT/ infrastructure related discipline supplemented with relevant vocational qualifications
- Strong technical skills to lead design, make efficient and effective decisions, and support project delivery on time and within budget.
- Excellent communication and teamwork skills to collaborate with local and regional engineering teams, project management teams, and technology teams.
- Experience and understanding of the requirements of IT related projects for corporate environments
Ideal Candidate:
The ideal candidate will have a solid foundation in technical skills, enabling them to lead design efforts and make informed decisions. They should be adept at managing projects efficiently and effectively, ensuring timely and budget-conscious delivery. Strong communication and teamwork skills are essential for collaborating with various teams across different regions.
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Consultant (Infrastructure and capital projects) - Strategy & Business Design - Hong Kong
Posted today
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Job Description
About the Business
Achieving your business outcomes and continued growth demands a strategic roadmap and smarter insights. The solutions you implement today will help pave the way for success tomorrow.
In today's business world, the ground rules for success are only as relevant as the data that feed the analysis, the analysis that fuels the insight, and the insight that drives decisions. With digital and advanced technologies constantly disrupting the playing field, it's never been so challenging to keep pace.
Success demands strategies and technology capabilities that adapt as quickly as the shifting global landscape and support your organization to anticipate change and stay two steps ahead. This is what Deloitte's professionals are uniquely able to deliver. With deep market insight coupled with world class strategic thinking and state of the art technology solutions, our integrated services empower your business to chart a new course, unlock new value, and drive transformative results.
Whether your organization is priming itself for organic growth, striving to identify advantages through analytics and artificial intelligence, or seeking competitive advantage through merger or acquisition; whether you need to drive shareholder value through efficiencies and cost-transformation or are seeking to improve decision-making; whether you need new vision in the C-suite or a new approach on the manufacturing floor—Deloitte's Strategy, Analytics, and M&A teams will help propel your organization to where it needs to be to win.
Work you'll do
As a Consultant:
- Developing business case to assess value for money of major infrastructure projects
- Building financial models to analyse project financing options and project viability
- Building economic CBA and EconIA models and reports and business cases
- Developing PPP strategy and tender documentation for public and private sector side
- Creating detailed proposals and other business development materials
- Present a cogent idea or case using clear and concise messaging, and support using appropriate data and tools
- Effectively interact with colleagues and clients of varying backgrounds to effectively serve clients
- Recognize technology as a business enabler
- Develop and share reusable assets that can be readily applied to new projects
As a Senior Consultant:
- Developing business case to assess value for money of major infrastructure projects
- Building financial models to analyse project financing options and project viability
- Building economic CBA and EconIA models and reports and business cases
- Developing PPP strategy and tender documentation for public and private sector side
- Creating detailed proposals and other business development materials
- Managing client engagement tasks, including billing, WIP and other administration
- Mentoring, coaching and support to junior team members
During your tenure with us, you will demonstrate and develop your leadership and professional capabilities in the following areas: Inspiring, Creating purpose, Driving agility, Building diverse capability, Influencing, Collaborating, Delivering value, Building the business, Analytical acumen, Effective communication, Engagement management/delivery excellence, Managing change, Managing quality & risk, Sales excellence, Strategic thinking and problem solving, and Tech savviness.
We are looking for someone with
For a Consultant role:
- At least 2 years of work experience in infrastructure advisory roles for public and/or private sector clients
- Demonstrates an understanding in delivery of large, complex infrastructure projects / major delivery programmes (incl. PPP), with relevant experience as a client, consultant or contractor
- A recognized degree in relevant disciplines, preferably in finance, economics, accounting, engineering, surveying or project management related disciplines
- A professional qualification in finance, accounting, engineering, surveying or project management is an advantage, e.g. CFA, HKICPA, HKIE, ICE, RICIS, PMP, APM or equivalent
- Fluent in English and Cantonese, Mandarin is a bonus
- Demonstrated ability to deliver complex projects
- Proven core consulting skills including: slide design, document story lining, problem solving, analytics, modelling
- Technical skills: strong written and oral communications ability, foster open dialogue amongst the team, strategic thinking, strong organizational capability
- Professional skills: strong networking ability, client management, team management
For a Senior Consultant role:
- At least 4 years of work experience in infrastructure advisory roles for public and/or private sector clients
- Demonstrates a strong understanding in delivery of large, complex infrastructure projects / major delivery programmes (incl. PPP), with relevant experience as a client, consultant or contractor
- A recognized degree in relevant disciplines, preferably in finance, economics, accounting, engineering, surveying or project management related disciplines
- A professional qualification in finance, accounting, engineering, surveying or project management is an advantage, e.g. CFA, HKICPA, HKIE, ICE, RICIS, PMP, APM or equivalent
- Strong organizational and project management skills with ability to multitask, schedule time effectively and digest and convey complex information in an understandable and succinct manner
- Proficient user of MS Office applications (specially, MS Word, MS PowerPoint and MS Excel – extensive experience with MS PowerPoint and strong modelling experience in MS Excel will be a plus)
- Ability to review and understand key due diligence elements
- Assist in developing and maintaining new and existing client relationships
- Strong analytical skills
- Demonstrated leadership and team-building abilities
- Excellent interpersonal and communication skills
- Fluency in English and Cantonese (required), Mandarin a bonus
Shape your future through impact that matters
For more than 100 years of history, Deloitte witnessed also had the honor to be part of the economic boom in China by providing industry-leading audit & assurance, consulting, risk advisory, financial advisory, tax & business advisory services to nearly 90% of the Fortune Global 500 Chinese companies and thousands of private companies. Deloitte China today carries on our centenary professionalism and strives to become the undisputed leader in professional services in China with strong responsibility and capabilities in digitalization and multidisciplinary services.
Deloitte has been named China's Top Employer since 2006, Universum's Most Attractive Employer in China since 2008, and the Best Workplaces in Greater China since 2019.
All qualified applicants will receive consideration for employment regardless of their background, experience, identity, ability or thinking style, and if you need assistance during the application process for accessibility reasons this is available upon request. The preferred candidate will be subject to background screening by Deloitte China or by their external third-party provider.
Accessibility assistance
If you need assistance or an accommodation during the recruitment process for accessibility reasons, there will be an opportunity for you to let us know what you need once you begin your application.
Ready to take on new challenges? Apply now
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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.
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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.
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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?
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