At a Glance
- Tasks: Join a team building high-performance data infrastructure for global research and trading.
- Company: Leading quantitative investment firm with a focus on innovation and expansion.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on developing scalable storage solutions.
- Why this job: Tackle complex engineering challenges and make a real impact on cutting-edge technology.
- Qualifications: Strong backend or systems engineering skills in Go, Rust, C++ or Java.
The predicted salary is between 70000 - 90000 £ per year.
Ncounter is supporting a leading quantitative investment firm as it continues a major expansion of its infrastructure and research platform. With substantial investment being made into compute, storage and distributed systems engineering, this is an opportunity to join a team building the next generation of high-performance data infrastructure that underpins global research and trading operations.
This role sits within the Platform Storage team, responsible for architecting and evolving the storage ecosystem powering large-scale quant workloads. The environment combines systems engineering, distributed backend development and high-performance infrastructure, with engineers working across on-prem and cloud platforms to solve complex data challenges at scale.
You’ll help design and develop storage abstractions, orchestration services and platform tooling that simplify how researchers and engineers interact with massive datasets. The work spans performance optimisation, infrastructure automation, open-source storage integration and operational engineering across highly demanding Linux environments.
Key responsibilities:
- Build scalable storage and orchestration services across hybrid infrastructure environments
- Design platform layers that provide seamless access across distributed storage technologies
- Evaluate and integrate open-source and vendor storage tooling into a unified platform
- Improve storage throughput, data locality and platform efficiency for research workloads
- Collaborate closely with compute, networking and observability teams across the wider platform estate
- Support troubleshooting, tuning and reliability engineering for production storage systems
What we’re looking for:
- Strong backend or systems engineering background with Go, Rust, C++ or Java
- Experience building or supporting distributed systems at scale
- Strong Linux knowledge and an interest in infrastructure engineering
- Exposure to observability tooling such as Prometheus, Grafana, Datadog or ELK
- Understanding of cloud and infrastructure automation, ideally AWS, GCP or Terraform
- Any experience with Ceph, MinIO, JuiceFS, FUSE, RDMA, GPUDirect or DPDK would be highly beneficial
This is an opportunity to join a team actively shaping a large-scale in-house storage platform rather than simply maintaining existing infrastructure. You’ll be working on deeply technical engineering problems with genuine long-term impact across a globally distributed technology estate.
ONLINE SPECIALIST - DATA in London employer: Ncounter Technology Recruitment
Contact Detail:
Ncounter Technology Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ONLINE SPECIALIST - DATA in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to backend or systems engineering. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common interview questions and consider mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your experience with distributed systems and cloud technologies to stand out.
We think you need these skills to ace ONLINE SPECIALIST - DATA in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your backend or systems engineering background, especially if you've worked with Go, Rust, C++, or Java. We want to see how your experience aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how you can contribute to building scalable storage solutions. Don’t forget to mention any relevant experience with distributed systems or cloud platforms.
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially those related to Linux environments and infrastructure automation. If you've got experience with observability tools like Prometheus or Grafana, let us know – we love that stuff!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Ncounter Technology Recruitment
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Go, Rust, or Java. Brush up on your knowledge of distributed systems and Linux environments, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to storage systems or infrastructure automation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Familiarise Yourself with Observability Tools
Since the role involves working with observability tools like Prometheus or Grafana, it’s a good idea to have a basic understanding of how these tools work. You might be asked about your experience with them, so having examples ready can set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects or the company’s approach to building scalable storage solutions. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.