---
title: 'Network SRE - Cloud at Qube Research & Technologies'
canonical: 'https://feeny.ai/job/network-sre-cloud-qube-research-technologies-hong-kong-eg5qvj9bgq5n'
type: 'job'
last_seen: '2026-11-07'
---

# Network SRE - Cloud at Qube Research & Technologies

- **Company:** Qube Research & Technologies
- **Location:** Hong Kong
- **Posted:** 2026-11-05
- **Last confirmed live:** 2026-11-07
- **Apply:** https://job-boards.greenhouse.io/quberesearchandtechnologies/jobs/8931540002

## 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.

Your future role within QRT:

QRT is expanding its global Network Operations capability to provide first-class 24/7 operational support for critical global network infrastructure and is seeking a Cloud SME within the Network SRE team. The successful candidate will act as the subject matter expert for cloud networking within the Cloud Network SRE team. In this role, you will bridge traditional network operations and advanced Site Reliability Engineering (SRE) practices for AWS network services and the wider hybrid network environment.

You will be responsible for helping manage and maintain QRT’s cloud, on-prem and network automation platforms. QRT operates with an Infrastructure as Code (IaC) mindset, so you will be expected to demonstrate experience operating complex infrastructure at scale through automation, controlled releases and robust change governance.

You will work closely with Network Engineering, Network Automation, Platform Engineering, Research, trading support and external vendor teams to drive continuous improvement, observability, self-healing automation, security, availability and reliability across our global hybrid cloud, WAN, Internet, datacentre and low-latency network footprint, while spearheading the team’s strategic roadmap and backlog delivery.

## Responsibilities

Cloud Network Reliability

- Drive high-tier support and incident response for complex cloud and hybrid network incidents, coordinating with AWS and network vendors where required. Conduct thorough post-incident reviews and root-cause analyses, using findings to improve resilience, monitoring, automation and capacity planning.
- Serve as the definitive technical SME for the newly formed Cloud Network SRE team, collaborating closely with engineering, platform, and support teams to continuously improve service delivery.
- Drive high-tier support and incident response for complex hybrid (cloud and on-premises) network incidents. Conduct thorough post-incident reviews (PIRs) and root-cause analyses (RCAs) to prevent recurrence.

Strategic Roadmap & Agile Delivery

- Lead the team’s strategic technical roadmap, creating and tracking against SLI/SLO targets, recurring incidents, Incident/RCA findings, capacity trends and long-term reliability/platform goals into actionable initiatives.
- Refine, prioritize, and manage the team backlog, translating strategic objectives into structured tasks integrated into regular agile sprint cycles.
- Collaborate with Network Engineering to transition new AWS network services, such as regional AWS Direct Connect deployments, into production operations with appropriate monitoring, documentation and support readiness.

Observability, Automation, & Infrastructure as Code (IaC)

- Lead the creation and continuous improvement of monitoring dashboards, alerting and observability frameworks for cloud network services, alert prioritisation, trend/correlation analysis, fast fault detection and telemetry-driven incident response.
- Partner tightly with Network Automation and Platform Engineering teams to automate high-frequency operational tasks through automation, CI/CD, GitOps or orchestration where appropriate, reducing toil and enabling self-healing or event-driven remediation where practical.
- Oversee network configuration changes managed via Terraform and related automation tooling, ensuring peer review, controlled release/rollback, robust change control and alignment to internal architecture standards.

Operational Governance & Vendor Partnership

- Conduct regular service performance reviews with AWS technical/account teams and relevant network vendors to review recurring issues, support deep-dive investigations, align on roadmap features and ensure contracted SLAs and internal SLOs are met or exceeded.
- Create and maintain robust operational documentation, architecture diagrams, and runbooks to drive down Mean Time to Resolution (MTTR).

Required Skills & Experience

- Proven experience in a Site Reliability Engineering, Network Engineering or Cloud Infrastructure role, operating complex infrastructure at scale within a high-performance, mission-critical environment. Financial services or low-latency trading experience preferred.
- Expertise in AWS core networking services: AWS Direct Connect, Transit Gateway, VPC, Route 53, VPC Flow Logs, Cloud native firewall architectures, and PrivateLink.
- Strong production experience with Terraform for network provisioning and state management.
- Proficiency with modern observability and monitoring stacks (e.g., Prometheus/PromQL, Grafana, AWS CloudWatch) with experience improving alert quality and operational visibility.
- Demonstrated capability in scripting and automation using Python, Bash or Go, with exposure to CI/CD, GitOps, Ansible or orchestration workflows.
- Solid understanding of core networking protocols and architectures (BGP, IPsec VPNs, TCP/IP, DNS, routing/switching design).
- Experience driving technical roadmaps, backlog refinement, and sprint planning in an agile environment.
- Strong analytical and problem-solving skills with a bias toward automation over manual toil. Excellent communication skills to interface across platform engineering, trading desks, and external cloud vendors.

Working Pattern

This role operates within a global Network team. Participation in on-call, out-of-hours escalation, maintenance windows, and major incident response will be required, consistent with the operational nature of the team

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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