At a Glance
- Tasks: Design and implement AWS architectures for cutting-edge research platforms.
- Company: Join Qube Research & Technologies, a leader in quantitative investment management.
- Benefits: Enjoy a competitive salary, flexible work options, and a focus on work-life balance.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
- Why this job: Be part of a dynamic team driving innovation in cloud technology and finance.
- Qualifications: 4+ years in cloud engineering with strong AWS expertise and collaboration skills.
The predicted salary is between 63000 - 77000 £ 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, Dynamo DB, Redis, and Cloud Watch.
- 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
- 4+ 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, Cloud Watch 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 Dev Ops 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, Dev Ops 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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Senior Cloud Engineer - AWS Specialist employer: Quberesearchandtechnologies
At Qube Research & Technologies, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to excel in their roles. As a Networks & Infrastructure Leader based in London, you will benefit from unparalleled opportunities for professional growth, mentorship, and collaboration within a cutting-edge environment focused on innovation in low-latency trading. Join us to be part of a team that values your expertise and encourages you to lead with confidence while making a significant impact on our business success.
Contact Details:
Quberesearchandtechnologies Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Cloud Engineer - AWS Specialist
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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We think you need these skills to ace Senior Cloud Engineer - AWS Specialist
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Quberesearchandtechnologies.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Quberesearchandtechnologies and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Quberesearchandtechnologies
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Quberesearchandtechnologies uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.