---
title: 'Site Reliability Engineer at Qube Research & Technologies'
canonical: 'https://feeny.ai/job/site-reliability-engineer-qube-research-technologies-hong-kong-q570wxy0q3k5'
type: 'job'
last_seen: '2026-09-12'
---

# Site Reliability Engineer at Qube Research & Technologies

- **Company:** Qube Research & Technologies
- **Location:** Hong Kong
- **Posted:** 2026-07-13
- **Last confirmed live:** 2026-09-12
- **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8623704002

## 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 the Core Trading Platform team, which is responsible for the design and operation of QRT’s global electronic trading infrastructure. This team builds and maintains the ultra-low latency systems that underpin real-time trading, managing performance-critical workflows across global markets. You will work closely with developers, traders, and operations to optimise system behaviour, reduce latency, and ensure platform reliability at scale.

Build. Break. Investigate. Optimize. Repeat.

We're looking for engineers who love understanding how systems really work.

Tinkerers. Optimizers. Troubleshooters. Performance sleuths. People who are just as comfortable diving into Linux internals and packet captures as they are writing software to eliminate operational toil.

This isn't a traditional support role. You'll operate at the intersection of software engineering, production operations and business workflows, helping keep a fast-moving trading platform running reliably while continuously making it better.

What you'll do:

Own production

- Take responsibility for the health, stability and performance of critical trading systems.
- When things break, you're one of the people everyone wants in the room.
- When things don't break, it's often because of something you built.

Investigate the unexplained

- Chase down complex incidents that span applications, infrastructure, networks and market connectivity.
- Become a technical forensic investigator, uncovering root causes that aren't immediately obvious and turning every incident into a learning opportunity.

Eliminate toil

- If you have to do something twice, you'll probably automate it.
- Build tools, workflows and self-service capabilities that make systems easier to operate and engineers more productive.

Obsess over reliability

- Design better monitoring, observability and alerting.
- Measure what matters.
- Reduce noise.
- Increase signal.
- Help us understand our systems before they fail rather than after they fail

Understand the business

- Our systems exist to support trading.
- You'll learn how orders move through the platform, how market data flows, how trading desks operate and why reliability matters to investment performance.

Optimize everything

- Latency.
- Efficiency.
- Deployments.
- Troubleshooting workflows.
- Feedback loops.
- Engineering productivity.
- Nothing is ever "good enough."

## What we're looking for

You might be a good fit if you:

- Enjoy taking things apart to understand how they work
- Automatically start troubleshooting when something looks wrong
- Find repetitive work deeply irritating and automate it away
- Get satisfaction from building reliable systems
- Prefer solving root causes instead of treating symptoms
- Love learning new technologies and diving into unfamiliar systems
- Can communicate clearly during high-pressure production events

We're more interested in how you think than the exact technologies you've used, but you'll likely have:

- Strong software engineering skills in Python, C++, or another modern programming language
- Solid Linux systems knowledge
- Understanding of networking fundamentals including TCP/IP and multicast
- Experience troubleshooting distributed systems
- Familiarity with observability, monitoring and automation tooling
- A passion for engineering robust, scalable and operable systems

Previous experience in finance or trading is helpful but not required.

## Why this role is different

Most companies separate developers, operations engineers and production support teams. We don't.

You'll join a multi-skilled engineering group that combines software development, production engineering, operational ownership and business understanding.

The result is a role with a broad scope, a steep learning curve and the opportunity to have a direct impact on the reliability and performance of a global trading platform.

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)

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