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- 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 cutting-edge technology and career development.
- Why this job: Tackle complex engineering challenges and make a real impact in the tech world.
- Qualifications: Strong backend or systems engineering skills with knowledge of 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
- 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 City of 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 City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to backend or systems engineering. We want to see what you can do with Go, Rust, or Java!
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of distributed systems and Linux environments. We recommend practicing coding challenges and system design questions to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace ONLINE SPECIALIST - DATA in City of 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 our team. Mention any relevant experience with distributed systems or cloud infrastructure, as this will catch our eye.
Showcase Your Projects: If you've worked on any projects related to storage systems or infrastructure automation, be sure to include them in your application. We love seeing real-world examples of your work, especially if they involve tools like Prometheus or AWS!
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, we love seeing candidates who take the initiative!
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.