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- Tasks: Design and implement AWS architectures for cutting-edge research platforms.
- Company: Join Qube Research & Technologies, a global leader in quantitative investment management.
- Benefits: Enjoy flexible work options and initiatives for a healthy work-life balance.
- Why this job: Be part of an innovative team solving complex challenges in finance with technology.
- Qualifications: 8+ years in cloud engineering with strong AWS expertise required.
- Other info: Diversity is celebrated here; we value every voice in our collaborative culture.
The predicted salary is between 43200 - 72000 £ per year.
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 QRT\’s 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:
You will be part of a global team comprising Quantitative Traders, Researchers and Developers. Our AWS specialists are essential in building the next generation of research platforms, leveraging technologies like EKS, Lambda, SSM, IAM, Secrets Manager, RDS, DynamoDB, Redis, and CloudWatch.
• Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk.
• 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.
Your present skillset:
• 8+ years experience as a Cloud Architect or Engineer with a strong focus on AWS technologies.
• 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.
• AWS certifications (Solutions Architect, DevOps Engineer, etc.) are a plus.
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.
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Cloud Engineer - AWS Specialist employer: Qube Research & Technologies
Contact Detail:
Qube Research & Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Engineer - AWS Specialist
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as EKS, Lambda, and RDS. Having hands-on experience or projects that showcase your skills with these technologies can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of Qube Research & Technologies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your experience with automation tools like Terraform and your understanding of DevOps principles. Be ready to share specific examples of how you've implemented these in past roles to improve cloud infrastructure.
✨Tip Number 4
Stay updated on the latest trends and best practices in cloud security and governance. Being able to articulate your knowledge in these areas will demonstrate your commitment to maintaining secure and efficient cloud solutions.
We think you need these skills to ace Cloud Engineer - AWS Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS technologies and cloud architecture. Focus on specific projects where you've designed or implemented AWS solutions, and quantify your achievements where possible.
Craft a Compelling Cover Letter: In your cover letter, express your passion for cloud engineering and how your skills align with QRT's mission. Mention your familiarity with the specific AWS services listed in the job description and how you can contribute to their innovative culture.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight your role, the technologies used, and the outcomes achieved, especially in relation to quantitative research or finance.
Highlight Soft Skills: QRT values collaboration and communication. Make sure to include examples of how you've successfully worked in teams, particularly in diverse technical environments. This will demonstrate your ability to fit into their collaborative mindset.
How to prepare for a job interview at Qube Research & Technologies
✨Showcase Your AWS Expertise
Make sure to highlight your in-depth knowledge of AWS services during the interview. Be prepared to discuss specific projects where you've implemented EKS, Lambda, or RDS, and how these technologies improved performance or efficiency.
✨Demonstrate Collaboration Skills
Since the role involves working closely with quantitative researchers and developers, share examples of past collaborations. Discuss how you translated technical needs into cloud solutions and how you ensured effective communication across teams.
✨Discuss Security Practices
Given the importance of cloud security in finance environments, be ready to talk about your understanding of cloud security practices. Provide examples of how you've implemented encryption and governance in previous roles to protect sensitive data.
✨Prepare for Technical Questions
Expect technical questions related to cloud infrastructure and troubleshooting. Brush up on your knowledge of DevOps principles and automation tools like Terraform, as well as containerization technologies such as Docker and Kubernetes.
