Senior Infrastructure Support Engineer - AWS

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Infrastructure Support Engineer - AWS Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. As an Infrastructure Support Engineer (AWS), you will play a key role in designing, maintaining, and securing cloud infrastructure to support critical business operations. The team works closely with development teams, DevOps, and system administrators to ensure seamless cloud functionality. Your future role at QRT: - Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk - Troubleshooting and resolving complex technical issues related to AWS infrastructure. - Collaborate with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions - Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk - Develop automation scripts using Terraform, CloudFormation, and other tools to improve cloud management and efficiency. - Work on continuous monitoring and optimizing performance and cost-effectiveness of cloud infrastructure. - Evaluate and recommend new technologies to improve the reliability, scalability, and security of the company's cloud infrastructure Your present skillset: - Troubleshooting should be

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