Qube Research & Technologies
Cloud Engineer - Crypto

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Cloud Engineer - Crypto
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. You will join the Cloud Infrastructure team in London. The team designs, builds, and operates cloud platforms that support trading and research workloads, including digital asset and crypto-related systems. The team works closely with development, trading, and operations teams to deliver secure, reliable and scalable cloud solutions. Your Future Role within QRT Design and implement deployment strategies for applications on AWS in collaboration with development, trading and operations teams Drive the adoption of CI/CD practices to automate and streamline software delivery Develop and maintain monitoring solutions to ensure availability, performance and reliability of cloud-based applications Work with developers to enhance application scalability, reliability and security in cloud environments Provide operational support and troubleshooting for issues related to cloud deployments and infrastructure Evaluate and introduce new tools and technologies to improve efficiency of DevOps processes Act as a liaison between engineering and business teams to facilitate effective communication and collaboration Your Present Skillset Extensive experience with AWS services and infrastructure (e.g. EC2, S3, VPC and related components) Proficiency in scripting languages such as Python or Bash for automation Strong understanding of CI/CD principles and experience with pipelines using tools such as Jenkins or GitLab CI Experience with infrastructure-as-code tools such as Terraform, CloudFormation or AWS CDK Hands-on experience with distributed computing systems and processing large datasets Practical experience with containerisation and orchestration (e.g. Docker, Kubernetes) Good understanding of Linux systems, including networking and performance optimisation Familiarity with time synchronisation concepts and protocols such as NTP or PTP Strong communication and collaboration skills, with the ability to work effectively across teams and departments 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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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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