--- title: 'Senior DevOps Engineer at Qube Research & Technologies' canonical: 'https://feeny.ai/job/senior-devops-engineer-qube-research-technologies-hong-kong-r4dqzc7pdhvw' type: 'job' last_seen: '2026-09-26' --- # Senior DevOps Engineer at Qube Research & Technologies - **Company:** Qube Research & Technologies - **Location:** Hong Kong - **Posted:** 2026-09-21 - **Last confirmed live:** 2026-09-26 - **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8826859002 ## 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. As a Senior DevOps Engineer at QRT, you will be a key player in designing, building and maintaining the infrastructure that powers our quantitative research and trading platforms. You will work closely with developers and quantitative researchers to ensure seamless CI/CD pipelines, robust automation and scalable deployment strategies. ## Your future role within QRT - Building and maintaining environments for Python development, ensuring optimal performance, compatibility and security - Developing and maintaining CI/CD pipelines to enable rapid and reliable software delivery across multiple environments - Architecting and maintaining cloud infrastructure on AWS, with a strong focus on EKS (Kubernetes) for container orchestration - Ensuring the stability and security of on-premises production systems, including infrastructure automation and monitoring - Implementing and managing automation tools to improve operational efficiency and reduce manual intervention - Collaborating with globally distributed teams, ensuring smooth communication and coordination between teams in different time zones - Driving best practices in DevOps, infrastructure as code (IaC) and security compliance ## Your present skillset - Strong experience in CI/CD pipeline development and deployment automation - Proficiency with container orchestration tools such as Kubernetes (EKS) and Docker - Expertise in Infrastructure as Code (IaC) using tools like Terraform or CloudFormation - Strong background in AWS services, including EC2, S3, Lambda and networking components - Hands-on experience managing on-premises production systems, ensuring high availability and scalability - Proficiency in monitoring, logging and security best practices for cloud and on-prem environments - Excellent English communication skills to effectively coordinate across teams in different locations - Ability to document workflows, troubleshoot issues and provide clear technical explanations - A proactive mindset, capable of driving process improvements and automation initiatives 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 - [Data Support Engineer](https://feeny.ai/job/data-support-engineer-qube-research-technologies-sydney-dwj6czq8z70e) — Sydney, Australia - [Data Scientist - Market Data](https://feeny.ai/job/data-scientist-market-data-qube-research-technologies-paris-h06zsfe2vgm1) — Paris, France - [Energy Trading Full Stack Engineer – Spark](https://feeny.ai/job/energy-trading-full-stack-engineer-spark-qube-research-technologies-london-hv2076vkjwxx) — London, United Kingdom - [Quantitative Developer - Python](https://feeny.ai/job/quantitative-developer-python-qube-research-technologies-hong-kong-7g1nw7q4cbea) — Hong Kong - [Quantitative Developer - Pre/Post-Trade Analytics](https://feeny.ai/job/quantitative-developer-pre-post-trade-analytics-qube-research-technologies-hong-71xb4ta9zcd1) — Hong Kong - [Academic Partnerships & Research Lead](https://feeny.ai/job/academic-partnerships-research-lead-qube-research-technologies-hong-kong-884km6b2c7je) — Hong Kong - [Data Support Engineer](https://feeny.ai/job/data-support-engineer-qube-research-technologies-london-3cs2pq896p3c) — London, United Kingdom - [Unix Platform Engineer](https://feeny.ai/job/unix-platform-engineer-qube-research-technologies-hong-kong-xbb5pd2vjh8s) — Hong Kong - [Data Platform Engineer – Inventory & Observability](https://feeny.ai/job/data-platform-engineer-inventory-observability-qube-research-technologies-london-3e0x6asmwebv) — London, United Kingdom - [Cloud Engineer](https://feeny.ai/job/cloud-engineer-qube-research-technologies-hong-kong-q5t12qpw6thz) — Hong Kong