--- title: 'AWS Cloud Network Engineer at Qube Research & Technologies' canonical: 'https://feeny.ai/job/aws-cloud-network-engineer-qube-research-technologies-hong-kong-73aa9bhqa6ev' type: 'job' last_seen: '2026-10-24' --- # AWS Cloud Network Engineer at Qube Research & Technologies - **Company:** Qube Research & Technologies - **Location:** Hong Kong, China - **Posted:** 2026-10-19 - **Last confirmed live:** 2026-10-24 - **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8899594002 ## Job description 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. You will join a Network Engineering team responsible for designing and operating large-scale public cloud, datacentre and high-performance computing (HPC) network infrastructure. The team works closely with Quantitative Researchers, Traders, and infrastructure, application teams to ensure reliable, high-performance connectivity across compute and storage platforms. ## What You'll Do We are seeking an experienced network engineer to join our AWS Cloud Engineering team to support the continued growth and maturation of our global cloud network. You will: - Design, develop and evolve QRT’s complex global AWS network architecture, with a focus on scalability, resilience, security and performance. - Support connectivity across compute, storage and cloud platforms - Use infrastructure as code and software-engineering practices to deliver consistent, repeatable and auditable network changes at scale. - Explore, evaluate and onboard new AWS networking services and features as part of the continuous improvement of the platform. - Contribute to the ongoing development of network architecture standards, design patterns, governance, observability and resilience. - Act as an engineering escalation point for complex connectivity and performance issues across cloud and traditional network domains. - Stay informed on industry trends and emerging technologies to evolve network infrastructure ## What We're Looking For You will have: - At least five years of experience in cloud or network engineering, including strong hands-on experience with AWS networking in production environments. - Good knowledge of AWS networking services, including VPC, Transit Gateway, PrivateLink, Direct Connect and Route 53. - Network security concepts, services and platforms, including segmentation, firewalls, AWS Shield and AWS WAF. - A solid understanding of networking fundamentals, including IPv4 subnetting, TCP/IP, ARP, VLANs, routing and switching, NAT, BGP, DNS, DHCP, HTTP/S and TLS. - Demonstrable experience with infrastructure as code and programming or scripting, ideally using Terraform and Python. - Experience troubleshooting on AWS, such as VPC Flow Logs, Reachability Analyzer, CloudWatch and Traffic Mirroring. - Be comfortable getting hands-on with smaller engineering tasks as well as larger strategic projects - Be a highly collaborative team player who takes ownership of complex problems and major project deliverables, communicating clearly and working across teams to drive successful outcomes Desirable experience Experience in, or a willingness to learn, the following areas would be beneficial: - Newer AWS networking technologies, including AWS Cloud WAN, Route 53 Profiles and VPC Lattice. - IP address management platforms such as Amazon VPC IP Address Manager or Infoblox. - Traditional enterprise and datacentre networking technologies, including dynamic routing, resilient network design, EVPN/VXLAN and network overlays. - IPv6 architecture and deployment on AWS and in hybrid environments. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance. ## About Qube Research & Technologies ## Company Overview - **One-liner**: Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager that deploys data, research, and technology to execute multi-strategy trading across all asset classes. - **Entity Type**: Private (Privately Held) - **Headquarters**: London, United Kingdom - **Founded**: 2018 (spun off from a systematic trading team at Credit Suisse, with roots tracing to 2016) - **Founders**: Not publicly disclosed (spun out of Credit Suisse's systematic trading team) ## Core Business - **Primary industry**: Financial Services / Quantitative Hedge Fund / Systematic Investment Management - **Target customers**: Institutional investors (pension funds, sovereign wealth funds, endowments, and other large allocators) - **Mission/purpose**: To combine data, research, technology, and trading expertise to solve complex challenges and deliver high-quality returns for investors. ## Products & Services - **Multi-Strategy Investment Management**: QRT deploys a diverse range of investment strategies across geographies, asset classes (equities, fixed income, FX, commodities, crypto), and time frames (high-frequency to long-term). They operate as a systematic, data-driven hedge fund. - **Quantitative Research & Technology Platform**: The firm's core offering is its proprietary technology and research platform, which enables quantitative researchers, data scientists, and software engineers to develop and execute trading models at scale. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held) - **Key Metric**: Total Funding: Not applicable (privately held, profitable firm). **Assets Under Management (AUM)**: Added $4bn in AUM between the start of 2024 and May 2024, returning 22% from January to April 2024 according to reports. - **Notable Investors/Partners**: Institutional investors (pension funds, sovereign wealth funds, endowments). Spun off from Credit Suisse's systematic trading team. - **Growth Signals**: Headcount grew **+56.4% YoY** to 1,787 employees. Expanded to 16 offices across 24 countries (including new offices in Dubai, Chicago, and New York). Over 100 active job openings. AUM grew significantly in 2024. ## Competitive Advantages - **Data & Technology Moat**: Combines proprietary research, massive datasets, and advanced technology (including machine learning, low-latency C++/FPGA systems, and cloud infrastructure) to generate alpha across all asset classes and timeframes. - **Multi-Strategy, Multi-Asset Diversification**: Operates across geographies, asset classes, and time horizons, reducing single-strategy risk and allowing capital to flow to the best opportunities. - **Talent Density & Culture**: Rapidly hires top talent from competitors (Goldman Sachs, Citadel, Millennium, Credit Suisse) and top universities. A young, high-performance culture with 74% of staff aged 40 or under. - **Compensation Model**: Over 40% of staff are part of a deferred compensation plan with exposure to fund performance, aligning employee incentives directly with investor returns. ## Strategic Focus - **Aggressive Global Expansion**: Rapidly scaling headcount (+56% YoY) and opening new offices in key financial hubs (Dubai, Chicago, New York, Singapore, Hong Kong). - **Technology & Infrastructure Investment**: Heavy investment in low-latency trading systems, FPGA engineering, cloud infrastructure, and data platforms (Snowflake, Python, C++, C#). - **Talent Acquisition**: Prioritizing hiring top quantitative researchers, software engineers, data scientists, and traders from competitors and top universities. Over 100 open roles globally. - **Crypto & New Asset Classes**: Actively building a crypto trading team and expanding into new asset classes and geographies. ## Why Work Here - **Compensation & Career Growth**: Highly competitive pay. Interns can earn around $12k per month. Over 40% of staff are in a deferred compensation plan with exposure to fund performance. Glassdoor rating of 4.1/5.0, with compensation (4.0) and career opportunities (4.1) as top highlights. - **Culture & Demographics**: Young, high-performance culture (74% of staff aged 40 or under, 38% aged 30 or under). 90% of staff reported good team morale in an internal survey. Described as a "fertile ground for experimental research." - **Work Environment**: Hybrid/office-based depending on role and location. Offices in London (HQ), Paris, Hong Kong, Singapore, New York, Chicago, Dubai, Mumbai, Geneva, and more. New London office in Victoria. - **Notable Perks**: Deferred compensation plan with fund performance exposure. Interns can earn around $12k per month. Strong focus on work-life balance initiatives. - **Engineering Culture**: Heavy emphasis on technology (Python, C++, C#, Snowflake, FPGA, low-latency systems, MLflow, Kubernetes). 22% of staff are in Research roles, 6% in Technical roles. Strong support for coding initiatives and academic projects in maths and science. ## Sources 1. [qube-rt.com](https://www.qube-rt.com/) 2. [LinkedIn](https://www.linkedin.com/company/qube-rt) 3. [efinancialcareers-canada.com](https://www.efinancialcareers-canada.com/news/qube-research-and-technologies-hiring-and-culture) 4. [Greenhouse Job Board](http://job-boards.greenhouse.io/quberesearchandtechnologies?page=2) 5. [Careers Page](https://www.qube-rt.com/careers) ## Other roles at Qube Research & Technologies - [Software Engineer – Site Reliability Engineering](https://feeny.ai/job/software-engineer-site-reliability-engineering-qube-research-technologies-london-eym0g9j6k3q7) — London, United Kingdom - [Software Engineer – Site Reliability Engineering](https://feeny.ai/job/software-engineer-site-reliability-engineering-qube-research-technologies-paris-4apgxxhjec80) — Paris, France - [Software Engineer – Site Reliability Engineering](https://feeny.ai/job/software-engineer-site-reliability-engineering-qube-research-technologies-new-kys9ere3tcjb) — New York, NY - [Senior Low-Latency C++ Software Engineer](https://feeny.ai/job/senior-low-latency-c-software-engineer-qube-research-technologies-new-york-bs03z5265yr9) — New York, NY - [C++ Developer – ETF Technology & Infrastructure](https://feeny.ai/job/c-developer-etf-technology-infrastructure-qube-research-technologies-new-york-vkcqnfd3jbmz) — New York, NY - [Data Scientist - Macro](https://feeny.ai/job/data-scientist-macro-qube-research-technologies-paris-yge0ddqvxnga) — Paris, France - [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-qube-research-technologies-london-1tmh1ythpq6k) — London, United Kingdom - [Windows Infrastructure Operations Engineer](https://feeny.ai/job/windows-infrastructure-operations-engineer-qube-research-technologies-new-york-9tv26rb98ywg) — New York, NY - [Data Scientist - Macro](https://feeny.ai/job/data-scientist-macro-qube-research-technologies-london-0vvezx6vzma1) — London, United Kingdom - [Infrastructure Linux Operations Engineer](https://feeny.ai/job/infrastructure-linux-operations-engineer-qube-research-technologies-new-york-17cxjv1gzfcf) — New York, NY