--- title: 'Network Operations Engineer (AWS) at Qube Research & Technologies' canonical: 'https://feeny.ai/job/network-operations-engineer-aws-qube-research-technologies-hong-kong-wpqk7wszr5fm' type: 'job' last_seen: '2026-09-05' --- # Network Operations Engineer (AWS) at Qube Research & Technologies - **Company:** Qube Research & Technologies - **Location:** Hong Kong, China - **Posted:** 2026-03-11 - **Last confirmed live:** 2026-09-05 - **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8445752002 ## Job description QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The AWS Cloud Engineering Team provides a scalable, performant and best practice platform for QRT’s application and core teams to utilize in deploying cloud native services. This team is critical in ensuring that applications are built on a strong AWS foundation from the perspective of governance, security and connectivity. ## Your future role within QRT We are seeking a Network Operations Engineer to support the ongoing operation, scalability and continuous improvement of our global AWS network. This role focuses on implementing change safely and consistently at scale, improving automation, and providing operational support to internal stakeholders. You will work closely with senior engineers, application teams, security and IT to ensure reliable, well-governed and observable network services in a production-sensitive environment. The role is expected to involve the following activities: - Implement changes across our global AWS network using Infrastructure-as-Code - Maintain and enhance Terraform modules to ensure scalable, repeatable and consistent network deployments - Develop and maintain automation tooling using Python and Bash - Execute controlled changes via CI/CD pipelines with appropriate validation and peer review - Assess and manage the risk associated with network changes, ensuring appropriate testing, impact analysis and rollback strategies are in place - Support and resolve network-related tickets raised by internal stakeholders in a timely and professional manner - Troubleshoot connectivity and configuration issues within AWS environments using both native and third-party tooling - Contribute to operational documentation, runbooks and continuous process improvement This role offers strong growth opportunities into deeper cloud networking, platform engineering and automation. ## Your present skillset - 2–4 years of experience in a cloud, infrastructure or network operations engineering role - Good understanding of networking fundamentals including IPv4, DNS, TCP/UDP and routing concepts - Practical experience with AWS networking services such as VPC, Transit Gateway and Route53 - Hands-on experience using Infrastructure-as-Code, ideally Terraform - Experience developing automation using Python and/or Bash - Ability to troubleshoot issues methodically and independently within production environments - Strong awareness of production risk and high-availability considerations - Experience handling tickets and communicating effectively with internal customers - Comfortable working in a fast-paced, dynamic environment - Desirable experience - Experience operating AWS networking at scale across multiple environments or region - Familiarity with CI/CD pipelines and automated deployment workflows - Exposure to IP address management tooling such as AWS VPC IPAM or Infoblox - Load balancing technologies (ALB, NLB) - Logging and observability tooling (CloudWatch, Grafana) - Exposure to newer AWS networking services such as VPC Lattice 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 offer initiatives and programs to enable employees to 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 - [Business Analyst – Limits and Execution](https://feeny.ai/job/business-analyst-limits-and-execution-qube-research-technologies-mumbai-qq5fgv91hxfx) — Mumbai, India - [Software Engineer - Electronic Trading Systems](https://feeny.ai/job/software-engineer-electronic-trading-systems-qube-research-technologies-hong-fsg803xb5ree) — Hong Kong, China / Sydney, Australia - [Low Latency Developer, C++](https://feeny.ai/job/low-latency-developer-c-qube-research-technologies-hong-kong-vv44w4ar2skh) — Hong Kong, China - [Quantitative Developer - Digital Assets (C++)](https://feeny.ai/job/quantitative-developer-digital-assets-c-qube-research-technologies-london-qr0tjnh5pv93) — London, United Kingdom - [Quantitative Data Engineer](https://feeny.ai/job/quantitative-data-engineer-qube-research-technologies-london-sqh05kp1zjyd) — London, United Kingdom - [Principle Network Engineer](https://feeny.ai/job/principle-network-engineer-qube-research-technologies-london-e18hxmn97my0) — London, United Kingdom - [Network Architecture Lead](https://feeny.ai/job/network-architecture-lead-qube-research-technologies-london-bngfdznaq335) — London, United Kingdom - [Production Trading Services – Electronic Trading](https://feeny.ai/job/production-trading-services-electronic-trading-qube-research-technologies-sydney-gvtc6606jtvj) — Sydney, Australia - [Head of Networks](https://feeny.ai/job/head-of-networks-qube-research-technologies-london-357r02f7phnc) — London, United Kingdom - [Production Support Engineer — LLM Platform](https://feeny.ai/job/production-support-engineer-llm-platform-qube-research-technologies-hong-kong-rsp4vmtknkpf) — Hong Kong, China