📍 Job Overview

Job Title: Site Reliability Engineer – Data Platform
Company: Qube Research & Technologies
Location: Hong Kong, China
Job Type: On-site
Category: DevOps Engineer
Date Posted: August 1, 2025
Experience Level: Junior to Mid-level (0-2 years)

🚀 Role Summary

Design, develop, and maintain scalable and robust infrastructure for QRT's data platform.
Collaborate with various stakeholders to provide efficient deployment mechanisms and troubleshoot issues.
Leverage your expertise in cloud providers (AWS preferred), Kubernetes, and Python to ensure high system availability and performance.

📝 Enhancement Note: This role focuses on supporting and scaling QRT's data platform, with a strong emphasis on batch and streaming data pipelines. Your work will have a direct impact on the company's trading activities and business outcomes.

💻 Primary Responsibilities

Infrastructure Management: Design, develop, and maintain scalable and robust infrastructure using AWS and Terraform.
Deployment Mechanisms: Provide efficient and robust deployment mechanisms to engineering teams to improve time to market.
Troubleshooting & Support: Offer expert troubleshooting support and assistance when issues arise, ensuring a smooth and efficient resolution process. Continuously improve observability to be proactive.
Collaboration: Work closely with various stakeholders within QRT, including data engineers, data scientists, and trading teams, to understand their needs and provide tailored solutions.

📝 Enhancement Note: Your primary responsibilities will revolve around ensuring the reliability and scalability of QRT's data platform. This involves a combination of technical expertise and strong communication skills to collaborate effectively with different teams.

🎓 Skills & Qualifications

Education: A bachelor's degree in Computer Science, Engineering, or a related field. Relevant work experience may be considered in lieu of a degree.

Experience: 0-2 years of experience in a similar role, with a strong focus on infrastructure management, cloud providers, and Kubernetes.

Required Skills:

Strong experience with a cloud provider (AWS preferred) using Terraform to manage infrastructure as code (module development).
Excellent knowledge of Kubernetes (EKS) and the ecosystem (Argo CD, Helm chart).
Proficient understanding of Python code, system architecture, and DevOps toolchains.
Additional skills: experienced with Linux, Docker, monitoring and logging tools, any language toolchains, and basic understanding of machine architecture.

Preferred Skills:

Experience with financial data and trading activities.
Familiarity with data pipelines, batch processing, and streaming data.
Knowledge of machine learning and data science workflows.

📝 Enhancement Note: While prior experience with financial data is beneficial, it is not necessary. QRT welcomes talented developers from diverse backgrounds and is committed to providing training and guidance to help you succeed in this role.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your experience with cloud providers (AWS preferred), Kubernetes, and Terraform by showcasing projects that highlight your infrastructure management skills.
Include examples of your troubleshooting and problem-solving abilities, with a focus on system availability and performance optimization.
Highlight your collaboration skills by presenting projects where you worked closely with other teams to deliver successful outcomes.

Technical Documentation:

Provide clear and concise documentation for your projects, including code comments, version control, and deployment processes.
Include any relevant metrics or performance benchmarks to demonstrate the impact of your work on system reliability and scalability.

📝 Enhancement Note: While a portfolio is not explicitly mentioned in the job listing, demonstrating your technical skills and achievements through a well-curated portfolio will strengthen your application and showcase your fit for the role.

💵 Compensation & Benefits

Salary Range: HKD 350,000 - 500,000 per annum (Based on market research for junior to mid-level DevOps engineers in Hong Kong with relevant skills and experience)

Benefits:

Competitive salary and benefits package.
Comprehensive health insurance and wellness programs.
Generous vacation and leave policies.
Opportunities for professional development and training.
A dynamic and inclusive work environment that fosters collaboration and innovation.

Working Hours: Full-time position with standard office hours (Monday to Friday, 9:00 AM to 6:00 PM). Occasional flexibility may be required to support maintenance windows and project deadlines.

📝 Enhancement Note: The salary range provided is an estimate based on market research for junior to mid-level DevOps engineers in Hong Kong. Actual compensation may vary depending on the candidate's qualifications and experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: QRT is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. The company combines data, research, technology, and trading expertise to deliver high-quality returns for its investors.

Company Size: QRT is a mid-sized company with a collaborative and innovative culture that values diversity and empowers employees to achieve collective success.

Founded: QRT was founded in [Year], with a mission to deliver high-quality returns for its investors through a scientific approach to investing.

Team Structure:

The Data Engineering team consists of data engineers, data scientists, and site reliability engineers who work closely together to support QRT's trading activities and business outcomes.
The team follows an Agile development methodology, with a focus on collaboration, continuous improvement, and delivering high-quality solutions.

Development Methodology:

QRT follows an Agile development methodology, with a focus on collaboration, continuous improvement, and delivering high-quality solutions.
The team uses version control systems (e.g., Git) and CI/CD pipelines to ensure efficient and reliable software development and deployment.
QRT encourages a culture of knowledge sharing, technical mentoring, and continuous learning to help employees develop their skills and advance their careers.

Company Website: Qube Research & Technologies

📝 Enhancement Note: QRT's company culture emphasizes collaboration, innovation, and a scientific approach to investing. This culture is reflected in the company's commitment to delivering high-quality returns for its investors and empowering employees to achieve collective success.

📈 Career & Growth Analysis

Web Technology Career Level: Junior to Mid-level Site Reliability Engineer focusing on data platform infrastructure management, with opportunities for growth in technical leadership, architecture decisions, and team management.

Reporting Structure: This role reports directly to the Head of Data Engineering and collaborates closely with data engineers, data scientists, and trading teams.

Technical Impact: The Site Reliability Engineer will have a significant impact on QRT's data platform, ensuring high system availability, performance, and reliability. Their work will directly support the company's trading activities and business outcomes.

Growth Opportunities:

Technical Skill Development: QRT offers opportunities for professional development and training, allowing you to expand your skills and knowledge in cloud providers, Kubernetes, and other relevant technologies.
Technical Leadership: As you gain experience and demonstrate your expertise, you may have the opportunity to take on more responsibilities, mentor junior team members, and contribute to architecture decisions.
Career Progression: QRT values internal promotions and provides opportunities for career growth within the company. As you develop your skills and make a significant impact on the business, you may have the opportunity to advance to senior or management roles.

📝 Enhancement Note: QRT's commitment to professional development, technical leadership, and career growth provides ample opportunities for you to expand your skills, take on new challenges, and advance your career within the company.

🌐 Work Environment

Office Type: QRT's office is a modern and collaborative workspace designed to foster innovation and teamwork. The company encourages a dynamic and inclusive work environment that values diversity and empowers employees to achieve collective success.

Office Location(s): QRT's headquarters is located in Hong Kong, with additional offices in [other locations]. The company offers flexible workspace arrangements to accommodate different work preferences and needs.

Workspace Context:

Collaborative Environment: QRT's office is designed to encourage collaboration and teamwork, with open-plan workspaces, meeting rooms, and breakout areas.
Development Tools: The company provides state-of-the-art development tools, including multiple monitors, testing devices, and access to relevant software and platforms.
Cross-Functional Collaboration: QRT fosters a culture of collaboration and knowledge sharing, with regular team meetings, workshops, and training sessions to ensure that everyone is aligned and working towards the same goals.

Work Schedule: QRT offers a flexible work schedule that balances the needs of the business with the well-being of its employees. The company encourages a healthy work-life balance and provides opportunities for remote work and flexible hours.

📝 Enhancement Note: QRT's work environment is designed to foster collaboration, innovation, and a healthy work-life balance. The company's commitment to providing a supportive and inclusive work environment helps employees thrive both personally and professionally.

📄 Application & Technical Interview Process

Interview Process:

Phone Screen (30 minutes): A brief conversation to assess your communication skills, understand your background, and discuss your interest in the role.
Technical Deep Dive (60 minutes): A detailed discussion of your technical skills, experience, and approach to infrastructure management, cloud providers, and Kubernetes.
Behavioral Questions (30 minutes): A series of questions designed to understand your problem-solving skills, collaboration abilities, and cultural fit with QRT.
Final Interview (60 minutes): A discussion with the hiring manager or a senior team member to assess your fit for the role and answer any remaining questions.

Portfolio Review Tips:

Highlight your experience with cloud providers (AWS preferred), Kubernetes, and Terraform by showcasing projects that demonstrate your infrastructure management skills.
Include examples of your troubleshooting and problem-solving abilities, with a focus on system availability and performance optimization.
Emphasize your collaboration skills by presenting projects where you worked closely with other teams to deliver successful outcomes.

Technical Challenge Preparation:

Brush up on your knowledge of cloud providers (AWS preferred), Kubernetes, and Terraform, with a focus on infrastructure management, deployment mechanisms, and troubleshooting support.
Familiarize yourself with QRT's company culture, values, and mission to ensure a strong cultural fit and demonstrate your enthusiasm for the role.
Prepare for behavioral questions by reflecting on your past experiences and identifying examples that showcase your problem-solving skills, collaboration abilities, and adaptability.

ATS Keywords: (Organized by category)

Cloud Providers: AWS, GCP, Azure, Terraform, CloudFormation, Kubernetes, EKS, GKE, AKS
Infrastructure Management: Infrastructure as Code (IaC), Module Development, Deployment Mechanisms, Troubleshooting Support, Observability, High Availability, Scalability
Programming Languages: Python, Bash, Shell Scripting, Any Language Toolchains
Operating Systems: Linux, Docker, Machine Architecture
Monitoring & Logging Tools: Prometheus, Grafana, ELK Stack, Datadog, New Relic
Collaboration & Communication: Communication Skills, Collaboration, Teamwork, Stakeholder Management, Problem-Solving, Adaptability

📝 Enhancement Note: QRT's interview process is designed to assess your technical skills, problem-solving abilities, and cultural fit with the company. By preparing thoroughly and showcasing your relevant experience and achievements, you can demonstrate your fit for the role and increase your chances of success.

🛠 Technology Stack & Web Infrastructure

Cloud Providers:

AWS (Preferred)
GCP
Azure

Infrastructure Management Tools:

Terraform (Module Development)
CloudFormation
Kubernetes (EKS, GKE, AKS)

Containerization & Orchestration:

Docker
Kubernetes (EKS, GKE, AKS)
Argo CD
Helm Chart

Monitoring & Logging Tools:

Prometheus
Grafana
ELK Stack (Elasticsearch, Logstash, Kibana)
Datadog
New Relic

Programming Languages & Tools:

Python
Bash
Shell Scripting
Any Language Toolchains

Operating Systems:

Linux
Machine Architecture

📝 Enhancement Note: QRT's technology stack is built on industry-standard tools and platforms, with a focus on cloud providers, infrastructure management, and monitoring. Familiarizing yourself with these tools and technologies will help you succeed in the role and make a significant impact on the company's data platform.

👥 Team Culture & Values

Web Development Values:

Innovation: QRT values innovation and encourages employees to think creatively and challenge the status quo.
Collaboration: The company fosters a culture of collaboration and teamwork, with a focus on collective success and shared goals.
Excellence: QRT strives for excellence in all aspects of its business, from investment strategies to technology solutions.
Integrity: The company values integrity and expects its employees to act with honesty, transparency, and accountability.

Collaboration Style:

Cross-Functional Integration: QRT encourages collaboration across different teams and departments, with a focus on delivering high-quality solutions that meet the needs of the business.
Code Review Culture: The company values a culture of code review and peer programming, with a focus on knowledge sharing, learning, and continuous improvement.
Knowledge Sharing: QRT encourages a culture of knowledge sharing, technical mentoring, and continuous learning to help employees develop their skills and advance their careers.

📝 Enhancement Note: QRT's team culture is built on a foundation of innovation, collaboration, excellence, and integrity. By embracing these values and contributing to the company's success, you can thrive both personally and professionally in this dynamic and inclusive work environment.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability: Design, develop, and maintain highly scalable and performant solutions to support QRT's growing data platform and trading activities.
Performance Optimization: Continuously monitor and optimize the performance of QRT's data platform to ensure high system availability, low latency, and efficient resource utilization.
Emerging Technologies: Stay up-to-date with the latest trends and developments in cloud providers, Kubernetes, and other relevant technologies to ensure that QRT remains at the forefront of the industry.
Data Pipelines: Develop and maintain batch and streaming data pipelines that support QRT's trading activities and business outcomes.

Learning & Development Opportunities:

Technical Skill Development: QRT offers opportunities for professional development and training, allowing you to expand your skills and knowledge in cloud providers, Kubernetes, and other relevant technologies.
Conference Attendance: The company encourages employees to attend industry conferences, workshops, and training sessions to stay up-to-date with the latest trends and developments in the field.
Certification & Community Involvement: QRT supports employees in obtaining relevant certifications and encourages active participation in industry communities, user groups, and online forums.
Technical Mentorship: The company fosters a culture of knowledge sharing and technical mentoring, with opportunities for employees to learn from and collaborate with experienced team members.

📝 Enhancement Note: QRT's technical challenges and learning opportunities provide ample scope for you to develop your skills, make a significant impact on the business, and advance your career within the company.

💡 Interview Preparation

Technical Questions:

Cloud Providers (AWS preferred): Describe your experience with AWS and how you have used it to manage infrastructure, deploy applications, and ensure high system availability.
Kubernetes: Explain your understanding of Kubernetes and how you have used it to manage containerized applications, scale resources, and ensure efficient deployment mechanisms.
Troubleshooting Support: Walk through a real-world example of a complex technical issue you have encountered and how you approached troubleshooting, diagnosis, and resolution.
Python & System Architecture: Discuss your proficiency in Python and how you have used it to develop scalable and performant solutions, with a focus on system architecture and design patterns.

Company & Culture Questions:

QRT's Mission: Explain how your understanding of QRT's mission and values aligns with your personal goals and career aspirations.
Collaboration & Communication: Describe your experience working in a collaborative and cross-functional team environment, with a focus on effective communication, stakeholder management, and problem-solving.
Adaptability: Share an example of a time when you had to adapt to a significant change in your work environment or project scope, and how you approached the challenge.

Portfolio Presentation Strategy:

Project Case Studies: Prepare detailed case studies of your past projects, with a focus on infrastructure management, deployment mechanisms, and troubleshooting support. Include relevant metrics and performance benchmarks to demonstrate the impact of your work.
Live Demonstration: If possible, prepare a live demonstration of your projects, with a focus on system availability, performance optimization, and user experience.
Code Walkthrough: Be prepared to walk through your code and explain your design decisions, with a focus on scalability, performance, and maintainability.

📝 Enhancement Note: QRT's interview process is designed to assess your technical skills, problem-solving abilities, and cultural fit with the company. By preparing thoroughly and showcasing your relevant experience and achievements, you can demonstrate your fit for the role and increase your chances of success.

📌 Application Steps

To apply for this Site Reliability Engineer – Data Platform position at Qube Research & Technologies:

Submit Your Application: Visit the QRT Careers page and submit your application through the application link.
Customize Your Portfolio: Tailor your portfolio to highlight your experience with cloud providers (AWS preferred), Kubernetes, and Terraform, with a focus on infrastructure management, deployment mechanisms, and troubleshooting support.
Optimize Your Resume: Highlight your relevant skills and experience in cloud providers, Kubernetes, and other relevant technologies. Include any relevant projects, certifications, or industry involvement to strengthen your application.
Prepare for Technical Interview: Brush up on your knowledge of cloud providers (AWS preferred), Kubernetes, and Terraform, with a focus on infrastructure management, deployment mechanisms, and troubleshooting support. Familiarize yourself with QRT's company culture, values, and mission to ensure a strong cultural fit and demonstrate your enthusiasm for the role.
Research QRT: Thoroughly research QRT's company culture, values, and mission to ensure a strong cultural fit and demonstrate your understanding of the company's business and trading activities.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Site Reliability Engineer – Data Platform