At a Glance
- Tasks: Design and maintain data pipelines for machine learning and improve system performance.
- Company: Join a leading tech firm focused on infrastructure and machine learning.
- Benefits: Competitive salary, health benefits, and opportunities for bonuses.
- Other info: Dynamic team environment with excellent growth potential and real-world challenges.
- Why this job: Gain hands-on experience with cutting-edge ML systems and strong mentorship.
- Qualifications: Degree in Computer Science or related field; coding experience in Python, C++, or Rust.
The predicted salary is between 150000 - 150000 £ per year.
Position
Overview: This is a Full‑time Junior Software Engineering position for candidates early in their career who are interested in infrastructure, systems, and machine learning platforms at scale.
As a Junior Engineer, you will contribute to production ML/HPC infrastructure, working alongside experienced engineers and quantitative researchers.
You will gradually take ownership of components and features, learn how large‑scale systems are designed and operated in practice, and contribute production‑quality code that directly supports research and trading workloads.
This role is designed to offer strong mentorship while encouraging increasing autonomy and technical ownership over time.
As part of the team, you will work on some of the following: Design, implement, and maintain data pipelines for machine learning training and inference.
Develop and improve workflow orchestration and infrastructure components (e. g. scheduling, resource allocation, data movement, filesystems).
Analyze and improve performance and scalability of systems and critical code paths.
Improve the reliability, observability, and usability of ML or HPC platforms.
Collaborate with quantitative researchers and developers to understand requirements and translate them into robust technical solutions.
The opportunity to work on production‑grade ML and HPC infrastructure at scale.
Strong mentorship and technical guidance from experienced engineers.
Gradual ownership of meaningful systems and components.
Exposure to real‑world performance, scalability, and reliability challenges.
Close collaboration with quantitative researchers and developers.
You will be expected to learn existing systems, contribute independently to ongoing work, and progressively take ownership of well‑defined areas of the platform with support from more senior engineers.
Required Qualifications A degree (BSc or MSc) in Computer Science, Engineering, Applied Mathematics, or a related field, or equivalent practical experience.
Strong foundations in computer science (e. g. algorithms, data structures, operating systems, distributed systems).
Experience developing software in at least one language such as Python, C++, or Rust.
Familiarity with writing, testing, and maintaining production‑quality code.
Ability to reason clearly about technical problems and communicate effectively with teammates.
Interest in infrastructure, performance, and large‑scale systems.
Exposure to machine learning workflows, data engineering, or ML platforms.
Experience working in Linux environments.
Introductory knowledge of distributed systems, HPC, or cloud platforms for CPU and GPU workloads.
Experience with profiling, benchmarking, or performance analysis.
Additional Qualifications (Nice to Have)Familiarity with CUDA or other GPU development frameworks.
The minimum base salary for this role is $150,000 if located in New York.
This expectation is based on available information at the time of posting.
This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation.
This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions.
Successful candidates’ compensation and benefits will be determined in consideration of various factors.
Junior SRE in London employer: Squarepoint Capital
Squarepoint is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation among elite professionals in the trading industry. Located in New York, employees benefit from competitive compensation packages, including discretionary bonuses and comprehensive health and wellness plans, while also having ample opportunities for professional growth and development through mentorship and training programs. Join us to be part of a forward-thinking team that values your contributions and supports your career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land Junior SRE in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Squarepoint Capital or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Squarepoint Capital.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Squarepoint Capital.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Squarepoint Capital that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Junior SRE 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 Squarepoint Capital.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Squarepoint Capital 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 Squarepoint Capital
✨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 Squarepoint Capital 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.
