At a Glance
- Tasks: Design and build scalable, low-latency infrastructure for real-time data processing.
- Company: Exciting stealth startup at the forefront of machine learning and data environments.
- Benefits: Competitive salary, dynamic work culture, and opportunities for rapid career growth.
- Other info: Be part of a small, high-calibre team in an innovative startup environment.
- Why this job: Join a pioneering team and shape the future of high-performance systems.
- Qualifications: Strong background in Computer Science or Mathematics and experience with distributed systems.
The predicted salary is between 60000 - 80000 € per year.
A unique opportunity to be one of the first engineers at a well‑funded, early‑stage startup building high‑performance, real‑time systems at the intersection of machine learning and complex data environments.
Key Responsibilities
- Design and build scalable, low‑latency infrastructure from first principles
- Develop systems for real‑time data processing, streaming, and deployment
- Own platform architecture across research, development, and production
- Improve reliability, performance, and observability across the technology stack
- Collaborate closely with a small, high‑calibre team on core technical direction
Required Qualifications
- Strong academic background in Computer Science, Mathematics, or related field from a prestigious university
- Strong software engineering fundamentals with distributed systems experience
- Hands‑on experience building and running production systems
- Proficiency in at least one of: Python, C++, Go, or Rust
- Experience with real‑time data systems and streaming architectures
- Experience in high‑performance or data‑intensive environments
- High ownership mindset, comfortable in an early‑stage startup environment
Preferred Qualifications
- Low‑latency systems or performance optimisation experience
- Exposure to ML infrastructure or large‑scale data pipelines
- Background in startups or small, high‑impact teams
A stealth startup focused on building cutting‑edge, high‑performance technical infrastructure at the intersection of machine learning and complex data environments.
Platform Engineer - HFT, Digital Assets - Cadogan Solutions in London employer: Jobs via eFinancialCareers
Cadogan Solutions offers an exceptional opportunity for aspiring engineers to join a pioneering startup at the forefront of technology. With a strong emphasis on innovation and collaboration, employees benefit from a dynamic work culture that fosters personal and professional growth, while being part of a small, high-calibre team dedicated to building scalable, low-latency systems. Located in a vibrant tech hub, this role provides unique advantages such as exposure to cutting-edge projects and the chance to shape the future of digital assets.
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer - HFT, Digital Assets - Cadogan Solutions in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at startups or in high-performance environments. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving real-time data processing or low-latency systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding distributed systems. Practice common algorithms and data structures, and be ready to discuss your past experiences in building production systems.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are passionate about building cutting-edge technology. Your next big opportunity could be just a click away!
We think you need these skills to ace Platform Engineer - HFT, Digital Assets - Cadogan Solutions in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of Platform Engineer. Highlight your experience with distributed systems and any relevant projects you've worked on, especially those involving real-time data processing.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity. Share your passion for building scalable infrastructure and how your background in Computer Science or Mathematics makes you a great fit for our team.
Showcase Your Technical Skills:Don’t just list your technical skills; provide examples of how you've applied them in real-world scenarios. Whether it's Python, C++, Go, or Rust, we want to see how you've used these languages to solve complex problems.
Apply Through Our Website:We encourage you to apply directly through our website. This helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of distributed systems and real-time data processing. Be ready to discuss your hands-on experience with Python, C++, Go, or Rust, as well as any projects you've worked on that demonstrate your ability to build scalable, low-latency infrastructure.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach designing a system from scratch or optimising performance in a high-intensity environment. Use examples from your past experiences to illustrate your thought process.
✨Emphasise Collaboration
Since you'll be working closely with a small, high-calibre team, it's crucial to highlight your teamwork skills. Share examples of how you've collaborated on projects, contributed to core technical decisions, and supported your colleagues in achieving common goals.
✨Demonstrate Your Ownership Mindset
In an early-stage startup, taking ownership is key. Be prepared to discuss instances where you've taken initiative, driven projects forward, or made impactful decisions. Show that you're comfortable navigating the challenges of a startup environment and are eager to contribute to the company's success.
