Site Reliability Engineer – Risk Technology

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

Mid 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

Site Reliability Engineer – Risk Technology 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 our 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. Your future role within QRT We are seeking a pragmatic and commercially-oriented Risk Technology specific Site Reliability Engineer (SRE) to join our team. The ideal candidate will have a strong background in technology. Primary he/she will be involved in prototyping, building scalable solutions with automated tests and CI/CD pipelines for the business with the goal of delivering a stable service. He/She must have a keen interest in automating processes and workflows. In addition, he/she will have to liaise with internal or external teams for effective management of the QRT Risk Technology stack. What you will do: - Develop and implement robust and reliable automation and/or analytical tools to help capture and investigate data quality problems using advanced Python - Building and enhancing user interfaces using tools like Plotly Dash and/or Streamlit. - Monitor system performance and troubleshoot issues to ensure optimal operation. - Collaborate with other support and development teams, SRE or Infrastructure teams to improve system reliability and performance. - Ensure security and compliance standards are met. -

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