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- Tasks: Design and support high-performance storage systems for cutting-edge research and trading operations.
- Company: Join a leading global quantitative investment firm known for its innovative infrastructure team.
- Benefits: Enjoy a collaborative, low-ego environment with opportunities for professional growth and development.
- Why this job: Be part of a strategic team that values infrastructure and works on advanced AI/ML projects.
- Qualifications: 8+ years in storage systems, strong Linux skills, and programming experience in Python or Golang.
- Other info: This role offers a unique chance to work with top talent in finance and technology.
The predicted salary is between 54000 - 84000 £ per year.
I'm working on behalf of a leading global quantitative investment firm that’s seeking a Senior Storage Engineer to join their world-class infrastructure team. This role sits at the core of their high-performance research and trading operations, supporting one of the most advanced compute environments in finance. You’ll play a pivotal role in engineering and scaling large-scale storage platforms for high-performance computing (HPC) and AI/ML research. This is a fantastic opportunity for a technically outstanding engineer looking to work in a collaborative, low-ego environment where infrastructure is truly seen as a strategic asset.
What You’ll Do:
- Design, build, and support high-performance storage systems (e.g., NFS, S3, CEPH, GPFS, Lustre, VAST, WEKA, DDN)
- Collaborate closely with Quant Researchers and AI/ML teams to translate their workloads into scalable storage infrastructure
- Optimize performance across Linux kernel, storage, and networking stacks
- Drive benchmarking, tuning, and capacity planning for large-scale, data-intensive workloads
- Implement and maintain DevOps tooling (Terraform, Ansible, GitLab CI/CD, Jenkins)
- Lead PoCs for new storage technologies and present results to technical leadership
- Support observability via Grafana, Prometheus, Splunk, and related platforms
- Contribute to containerization efforts with Docker and Kubernetes (preferred)
What We’re Looking For:
- ~8+ years of experience in storage systems administration and infrastructure/platform engineering
- ~ Deep knowledge of storage protocols (Posix FS, NFS, CIFS, S3) and high-performance network architectures (ROCE, Infiniband, kernel bypass)
- ~ Strong understanding of Linux performance tuning, particularly in HPC or ML/AI contexts
- ~ Programming/scripting experience in Python, Golang, or similar languages
- ~ Familiarity with modern observability and monitoring tools (Grafana, Prometheus, Splunk)
- ~ Experience supporting AI/ML modelling environments is highly desirable
- ~ Knowledge of container and orchestration technologies (Docker, Kubernetes) is a plus
- ~ Proactive, collaborative, and passionate about building world-class infrastructure
This is a rare chance to join a firm that treats infrastructure as a first-class citizen. If you thrive in high-performance environments and want to work alongside some of the brightest minds in quantitative finance and research, let’s connect.
Senior Implementation Engineer employer: NJF Global Holdings Ltd
Contact Detail:
NJF Global Holdings Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Implementation Engineer
✨Tip Number 1
Familiarise yourself with the specific storage technologies mentioned in the job description, such as NFS, S3, and CEPH. Having hands-on experience or projects that demonstrate your proficiency with these systems can set you apart from other candidates.
✨Tip Number 2
Engage with communities or forums related to high-performance computing and storage solutions. Networking with professionals in these spaces can provide insights into the latest trends and challenges, which you can discuss during interviews.
✨Tip Number 3
Prepare to showcase your experience with DevOps tools like Terraform and Ansible. Consider creating a small project or demo that highlights your ability to implement and maintain these tools effectively in a storage context.
✨Tip Number 4
Brush up on your Linux performance tuning skills, especially in relation to HPC and AI/ML workloads. Being able to articulate your approach to optimising performance in these environments will demonstrate your technical depth and relevance to the role.
We think you need these skills to ace Senior Implementation Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in storage systems administration and infrastructure engineering. Emphasise your knowledge of high-performance storage systems and any specific technologies mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for building world-class infrastructure. Mention your experience with AI/ML environments and how you can contribute to the team’s goals, particularly in optimising performance and collaborating with Quant Researchers.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in programming/scripting languages like Python or Golang, and your familiarity with tools such as Terraform, Ansible, and Docker. This will demonstrate your fit for the role.
Highlight Collaborative Experience: Since the role involves working closely with various teams, include examples of past collaborative projects. Describe how you’ve successfully worked in low-ego environments and contributed to team success, which aligns with the company culture.
How to prepare for a job interview at NJF Global Holdings Ltd
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with high-performance storage systems and protocols in detail. Highlight specific projects where you've designed or optimised storage solutions, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Collaboration Skills
Since the role involves working closely with Quant Researchers and AI/ML teams, share examples of past collaborations. Discuss how you translated complex requirements into scalable infrastructure and how you communicated effectively with non-technical stakeholders.
✨Prepare for Problem-Solving Scenarios
Expect to face technical scenarios or case studies during the interview. Practice articulating your thought process when benchmarking, tuning, or planning capacity for large-scale workloads. This will showcase your analytical skills and ability to think on your feet.
✨Familiarise Yourself with DevOps Tools
Since the role requires knowledge of DevOps tooling like Terraform and Ansible, brush up on these technologies. Be ready to discuss how you've implemented or maintained such tools in previous roles, and how they contributed to the efficiency of your projects.
