At a Glance
- Tasks: Design and deliver infrastructure for large scale data processing and distribution.
- Company: Join Qube Research & Technologies, a leader in quantitative investment management.
- Benefits: Enjoy a competitive salary, work-life balance initiatives, and a collaborative culture.
- Other info: Mentorship opportunities and a focus on diversity and inclusion.
- Why this job: Make an impact by solving complex challenges in a tech-driven environment.
- Qualifications: 7+ years in software engineering with expertise in distributed systems and backend engineering.
The predicted salary is between 60000 - 80000 £ 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.
You will work on the infrastructure that powers data ingestion, processing and distribution across the firm. Data is central to QRT’s research and trading activities, and the scale and complexity of our platform continues to grow. The role involves solving distributed systems challenges across real time messaging, large scale data processing, distributed storage and high performance backend services.
Your future role within QRT:
- Design and deliver production infrastructure that supports large scale data ingestion, processing and distribution
- Contribute to the architecture and evolution of core data platform components
- Lead technical design discussions and influence engineering decisions across the platform
- Maintain high engineering standards through code reviews, design reviews and technical guidance
- Mentor engineers and contribute to a collaborative engineering culture
- Work with stakeholders and engineering teams to translate business and technical requirements into scalable infrastructure solutions
- Develop systems that support real time messaging, distributed storage, data processing and large scale analytics workloads
Your present skillset:
- 7 or more years of professional software engineering experience in distributed systems or high performance backend engineering
- Experience designing, building and operating large scale production systems
- Strong proficiency in Rust, C++, Java or another server side programming language
- Experience developing high performance services, including multithreading, asynchronous processing, caching and performance optimisation
- Understanding of large scale data platforms and the trade offs involved in distributed databases, data lakes, messaging systems and related technologies
- Strong communication skills and the ability to work effectively across teams and disciplines
- Experience mentoring engineers and contributing to technical leadership is beneficial
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.
Senior Software Engineer - Data Infrastructure in London employer: Quberesearchandtechnologies
At Qube Research & Technologies, we pride ourselves on being a leading employer in the financial technology sector, where innovation and collaboration are at the heart of our culture. Our commitment to employee growth is evident through mentorship opportunities and a supportive environment that encourages open communication and respect. Located in a dynamic industry, we offer competitive benefits and initiatives aimed at promoting a healthy work-life balance, making QRT an exceptional place for talented individuals to thrive and contribute to cutting-edge data infrastructure solutions.
Contact Details:
Quberesearchandtechnologies Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Data Infrastructure in London
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We think you need these skills to ace Senior Software Engineer - Data Infrastructure in London
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.
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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.
