Sobre esta vaga de 2027 Internship/Graduate - Infrastructure / Cloud Engineer na Qube Research & Technologies
Who qualifies: Penultimate or final year students completing a Bachelor's, Master's, PhD.
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.
We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program.
Your future role at QRT
Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact.
Infrastructure
Infrastructure oversees the on-premises hardware and operating systems that power our production trading operations. We optimise hardware performance, analyse Linux internals, and fine-tune systems to ensure peak operational efficiency. Our work is centred on precise performance measurement and targeted enhancements, supporting mission-critical trading systems with speed, stability, and precision.
Cloud
Cloud Engineer delivers the scalable computing and data platforms that support QRT’s research and trading initiatives. We design and manage cloud infrastructure, optimize large-scale data pipelines, and automate provisioning to provide fast, flexible, and efficient research environments. By leveraging Infrastructure as Code (IaC) and DevOps practices, we enable researchers to process vast datasets, run complex models, and innovate without infrastructure constraints.
Your present skillset
- Passion for Technology – We’re most interested in your achievements, such as hobbies, personal projects, academic work, or open-source contributions.
- Technical Skills – Examples of relevant experience could include:
- Programming or scripting languages (e.g., Python, Bash, or others)
- Tools such as Git, SQL, and GCC
- Understanding of Linux/Unix system administration fundamentals
- Familiarity with command-line tools and shell scripting (Bash, Python preferred)
- Experience with monitoring tools (Grafana, Prometheus & PromQL)
- Familiarity with Python and machine learning frameworks such as PyTorch, TensorFlow, or JAX.
- Mindset – Proactive, curious, and unafraid to ask questions, with the confidence to suggest and implement optimizations that improve performance.
- Approach – Entrepreneurial, self-motivated, and results-driven
Interview Process:
- Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances.
- Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills.
- Assessment Centre / Online Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values.
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
