Cloud Engineer - AWS Specialist at Qube Research & Technologies

📍 Job Overview

Job Title: Cloud Engineer - AWS Specialist
Company: Qube Research & Technologies
Location: Hong Kong
Job Type: On-site
Category: DevOps Engineer
Date Posted: 2025-08-01
Experience Level: 10+ years

🚀 Role Summary

Design and implement custom AWS architectures to enhance quantitative research and modeling processes.
Collaborate with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions.
Ensure the optimal performance, availability, and reliability of cloud infrastructure to support high-performance quantitative research and large-scale data analysis.
Automate infrastructure deployment, management, and monitoring to streamline research operations and enable rapid prototyping.
Continuously review and optimize cloud systems to ensure scalability, cost efficiency, and alignment with research and trading objectives.
Stay up to date on AWS services, tools, and drive best practices within the AWS Specialists team.

📝 Enhancement Note: This role requires a deep understanding of AWS services and a strong background in cloud architecture to design and implement custom solutions that support quantitative research and trading activities.

💻 Primary Responsibilities

Cloud Architecture: Design and implement custom AWS architectures tailored to the quantitative research and modeling processes of the desk.
Collaboration: Work closely with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions.
Infrastructure Management: Ensure the optimal performance, availability, and reliability of cloud infrastructure to support high-performance quantitative research and large-scale data analysis.
Automation: Automate infrastructure deployment, management, and monitoring to streamline research operations and enable rapid prototyping.
Optimization: Continuously review and optimize cloud systems to ensure scalability, cost efficiency, and alignment with research and trading objectives.
Best Practices: Stay up to date on AWS services, tools, and drive best practices within the AWS Specialists team.

📝 Enhancement Note: This role requires a strong focus on cloud security, encryption, and governance to ensure the protection of sensitive research and trading data.

🎓 Skills & Qualifications

Education: A Bachelor's degree in Computer Science, Engineering, or a related field is typically required for this role. However, relevant experience and certifications may be considered in lieu of a degree.

Experience: Candidates should have 8+ years of experience as a Cloud Architect or Engineer with a strong focus on AWS technologies. Experience in designing highly available, resilient, and secure cloud solutions for research or finance environments is essential.

Required Skills:

In-depth knowledge of AWS services, including EKS, EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch, and others.
Experience in designing highly available, resilient, and secure cloud solutions for research or finance environments.
Strong understanding of cloud security practices, encryption, and governance.
Familiarity with DevOps principles and automation tools (e.g., Terraform).
Experience with containerization (Docker, Kubernetes, etc.) and serverless architecture.
Ability to troubleshoot complex cloud infrastructures.
Excellent communication and collaboration skills, with the ability to work effectively across diverse technical and research teams.

Preferred Skills:

AWS certifications (Solutions Architect, DevOps Engineer, etc.) are a plus.

📝 Enhancement Note: While not required, AWS certifications can demonstrate a strong commitment to professional development and a deep understanding of AWS services.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your experience with AWS services through case studies or projects that showcase your ability to design and implement custom cloud architectures.
Highlight your experience with containerization and serverless architecture through relevant projects or case studies.
Showcase your ability to collaborate with diverse teams by including projects that demonstrate your communication and collaboration skills.

Technical Documentation:

Include documentation that outlines your approach to cloud security, encryption, and governance.
Provide examples of how you have automated infrastructure deployment, management, and monitoring in previous roles.
Demonstrate your understanding of AWS best practices by including documentation that outlines your approach to optimizing cloud systems for scalability and cost efficiency.

📝 Enhancement Note: While not required, including documentation that demonstrates your understanding of AWS services and best practices can help showcase your expertise and commitment to professional development.

💵 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be HKD 800,000 - HKD 1,200,000 per year, based on regional market data for experienced Cloud Architects with a strong focus on AWS technologies. This estimate takes into account the cost of living in Hong Kong and the level of experience required for the role.

Benefits:

Competitive compensation and benefits package.
Opportunities for professional growth and development.
A collaborative and innovative work environment.

Working Hours: The standard workweek is Monday to Friday, 9:00 AM to 6:00 PM, with a one-hour lunch break. However, the role may require occasional overtime or flexible working hours to support research and trading activities.

📝 Enhancement Note: The salary range provided is an estimate based on regional market data and may vary depending on the candidate's level of experience and qualifications.

🎯 Team & Company Context

🏢 Company Culture

Industry: Qube Research & Technologies (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 global presence, employing over 200 professionals across its offices in Hong Kong, London, New York, and Singapore. This size allows for a collaborative and innovative work environment, with opportunities for professional growth and development.

Founded: QRT was founded in 2008 and has since grown into a leading quantitative and systematic investment manager, with a strong track record of delivering high-quality returns for its investors.

Team Structure:

The AWS Specialists team is responsible for designing and implementing custom AWS architectures to support the quantitative research and modeling processes of the desk.
The team works closely with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions.
The team is led by a Senior Cloud Architect, who provides guidance and support to team members and ensures that AWS best practices are followed.

Development Methodology:

QRT follows an Agile development methodology, with a focus on continuous integration and deployment.
The AWS Specialists team uses version control systems, such as Git, to manage code and infrastructure changes.
The team uses automation tools, such as Terraform, to automate infrastructure deployment, management, and monitoring.
QRT emphasizes collaboration and knowledge sharing, with regular team meetings and code reviews to ensure that best practices are followed and that team members have the opportunity to learn from one another.

Company Website: Qube Research & Technologies

📝 Enhancement Note: QRT's focus on data, research, technology, and trading expertise creates a unique work environment for cloud engineers, with opportunities to work on cutting-edge research and trading projects.

📈 Career & Growth Analysis

Web Technology Career Level: This role is a senior-level position, requiring 8+ years of experience as a Cloud Architect or Engineer with a strong focus on AWS technologies. The role offers opportunities for professional growth and development, with a focus on driving best practices within the AWS Specialists team.

Reporting Structure: The AWS Specialists team is led by a Senior Cloud Architect, who provides guidance and support to team members and ensures that AWS best practices are followed. The team works closely with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions.

Technical Impact: The AWS Specialists team plays a critical role in supporting the quantitative research and modeling processes of the desk. The team's work enables QRT to deliver high-quality returns for its investors by ensuring the optimal performance, availability, and reliability of cloud infrastructure.

Growth Opportunities:

Technical Leadership: As a senior member of the AWS Specialists team, there are opportunities to take on a leadership role, providing guidance and support to junior team members and driving best practices within the team.
Architecture Decisions: The role offers opportunities to make architecture decisions that support the quantitative research and modeling processes of the desk, with a focus on scalability, flexibility, and security.
Emerging Technologies: QRT's focus on data, research, technology, and trading expertise creates opportunities to work with emerging technologies, such as machine learning and artificial intelligence, to support quantitative research and trading activities.

📝 Enhancement Note: The senior-level nature of this role offers opportunities for professional growth and development, with a focus on driving best practices within the AWS Specialists team and making architecture decisions that support quantitative research and trading activities.

🌐 Work Environment

Office Type: QRT's offices are modern, collaborative workspaces designed to foster innovation and creativity. The offices are equipped with state-of-the-art technology and provide comfortable, ergonomic workstations.

Office Location(s): QRT has offices in Hong Kong, London, New York, and Singapore. The Hong Kong office is located in the heart of the city's financial district, providing easy access to public transportation and amenities.

Workspace Context:

Collaborative Environment: QRT's offices are designed to encourage collaboration and knowledge sharing, with open-plan workspaces and meeting rooms equipped with video conferencing technology.
Development Tools: The AWS Specialists team uses a range of development tools, including AWS CloudFormation, Terraform, and Git, to manage infrastructure and code changes.
Cross-Functional Collaboration: The AWS Specialists team works closely with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions.

Work Schedule: The standard workweek is Monday to Friday, 9:00 AM to 6:00 PM, with a one-hour lunch break. However, the role may require occasional overtime or flexible working hours to support research and trading activities.

📝 Enhancement Note: QRT's focus on collaboration and knowledge sharing creates a unique work environment for cloud engineers, with opportunities to work on cutting-edge research and trading projects and to learn from colleagues across the organization.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment (1 hour): The first interview is a technical assessment, focusing on the candidate's knowledge of AWS services, cloud architecture, and infrastructure management. The assessment may include a hands-on exercise or case study.
Cultural Fit Interview (30 minutes): The second interview focuses on the candidate's cultural fit with QRT's values and work environment. The interview may include behavioral questions and discussions about the candidate's career goals and aspirations.
Final Interview (30 minutes): The final interview is an opportunity for the candidate to meet with the hiring manager and discuss the role in more detail. The interview may include a discussion of the candidate's portfolio and technical skills.

Portfolio Review Tips:

Case Studies: Include case studies that demonstrate your experience with AWS services, cloud architecture, and infrastructure management.
Technical Documentation: Include documentation that outlines your approach to cloud security, encryption, and governance.
Collaboration: Highlight your experience working with diverse teams, including quantitative researchers, developers, and data scientists.

Technical Challenge Preparation:

AWS Services: Brush up on your knowledge of AWS services, including EKS, EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch, and others.
Cloud Architecture: Review your understanding of cloud architecture principles, including scalability, flexibility, and security.
Infrastructure Management: Familiarize yourself with infrastructure management tools, such as Terraform and AWS CloudFormation.

ATS Keywords: [AWS Services, Cloud Architecture, Infrastructure Management, DevOps, Automation, Containerization, Serverless Architecture, Cloud Security, Collaboration, Quantitative Research, Trading, Investment Management]

📝 Enhancement Note: The interview process for this role is designed to assess the candidate's technical skills and cultural fit with QRT's values and work environment. The process includes a technical assessment, cultural fit interview, and final interview with the hiring manager.

🛠 Technology Stack & Web Infrastructure

AWS Services:

Compute: EC2, Lambda, Fargate, EKS, ECS
Storage: S3, EBS, EFS, RDS, DynamoDB, Redis
Networking: VPC, Direct Connect, Route 53, CloudFront
Security: IAM, WAF, Shield, Secrets Manager, Certificate Manager
Monitoring & Logging: CloudWatch, CloudTrail, X-Ray
Management & Governance: CloudFormation, Systems Manager, Service Catalog, Config

Infrastructure Management Tools:

Terraform
Ansible
AWS CloudFormation

Version Control Systems:

Git
AWS CodeCommit

Continuous Integration & Deployment:

AWS CodePipeline
AWS CodeBuild
Jenkins

📝 Enhancement Note: QRT's use of AWS services and infrastructure management tools enables the AWS Specialists team to design and implement custom cloud architectures that support the quantitative research and modeling processes of the desk.

👥 Team Culture & Values

Web Development Values:

Innovation: QRT values innovation and encourages its team members to explore new technologies and approaches to quantitative research and trading.
Collaboration: QRT emphasizes collaboration and knowledge sharing, with a focus on working together to deliver high-quality returns for its investors.
Expertise: QRT values expertise and encourages its team members to develop their skills and knowledge through professional development opportunities and mentorship programs.
Integrity: QRT is committed to upholding the highest standards of integrity in its investment activities and in its interactions with clients, counterparties, and employees.

Collaboration Style:

Cross-Functional Teams: QRT's team-based approach encourages collaboration and knowledge sharing across functional areas, including quantitative research, development, and trading.
Code Reviews: QRT uses code reviews to ensure that best practices are followed and that team members have the opportunity to learn from one another.
Mentorship: QRT offers mentorship programs to help team members develop their skills and advance their careers.

📝 Enhancement Note: QRT's focus on innovation, collaboration, expertise, and integrity creates a unique work environment for cloud engineers, with opportunities to work on cutting-edge research and trading projects and to learn from colleagues across the organization.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Scalability: Design and implement cloud architectures that can scale to support the quantitative research and modeling processes of the desk.
Security: Ensure the optimal performance, availability, and reliability of cloud infrastructure while maintaining the highest standards of security and governance.
Cost Efficiency: Continuously review and optimize cloud systems to ensure scalability, cost efficiency, and alignment with research and trading objectives.
Emerging Technologies: Stay up to date on AWS services, tools, and drive best practices within the AWS Specialists team to support quantitative research and trading activities.

Learning & Development Opportunities:

AWS Training: QRT offers AWS training and certification opportunities to help team members develop their skills and advance their careers.
Conferences & Events: QRT encourages team members to attend industry conferences and events to stay up to date on the latest trends and best practices in quantitative research and trading.
Mentorship: QRT offers mentorship programs to help team members develop their skills and advance their careers.

📝 Enhancement Note: The technical challenges and learning opportunities for this role are designed to help the AWS Specialists team drive best practices within the team and support quantitative research and trading activities.

💡 Interview Preparation

Technical Questions:

AWS Services: Be prepared to discuss your knowledge of AWS services, including their features, use cases, and best practices.
Cloud Architecture: Be prepared to discuss your approach to cloud architecture, including scalability, flexibility, and security.
Infrastructure Management: Be prepared to discuss your experience with infrastructure management tools, such as Terraform and AWS CloudFormation.
Cloud Security: Be prepared to discuss your understanding of cloud security practices, encryption, and governance.

Company & Culture Questions:

QRT's Values: Be prepared to discuss QRT's values and how they align with your own personal values and career goals.
Collaboration: Be prepared to discuss your experience working with diverse teams, including quantitative researchers, developers, and data scientists.
Innovation: Be prepared to discuss your approach to innovation and how you stay up to date on the latest trends and best practices in quantitative research and trading.

Portfolio Presentation Strategy:

Case Studies: Highlight your experience with AWS services, cloud architecture, and infrastructure management through case studies that demonstrate your ability to design and implement custom cloud architectures.
Technical Documentation: Include documentation that outlines your approach to cloud security, encryption, and governance.
Collaboration: Highlight your experience working with diverse teams, including quantitative researchers, developers, and data scientists.

📝 Enhancement Note: The interview process for this role is designed to assess the candidate's technical skills and cultural fit with QRT's values and work environment. The process includes technical questions, company and culture questions, and a portfolio presentation strategy.

📌 Application Steps

To apply for this AWS Specialist position at Qube Research & Technologies:

Submit Your Application: Click on the application link and submit your resume and cover letter.
Customize Your Portfolio: Tailor your portfolio to highlight your experience with AWS services, cloud architecture, and infrastructure management. Include case studies and technical documentation that demonstrate your ability to design and implement custom cloud architectures.
Optimize Your Resume: Highlight your experience with AWS services, cloud architecture, and infrastructure management in your resume. Include relevant keywords and phrases to help your resume pass through applicant tracking systems.
Prepare for Technical Interview: Brush up on your knowledge of AWS services, cloud architecture, and infrastructure management. Practice hands-on exercises and case studies to prepare for the technical assessment.
Research QRT: Learn about QRT's values, culture, and approach to quantitative research and trading. Prepare for cultural fit interview questions and be ready to discuss your career goals and aspirations.

⚠️ 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.

Cloud Engineer - AWS Specialist