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- Tasks: Join a team to build and support high-performance storage systems for AI/ML workloads.
- Company: Work with a leading global quantitative investment firm at the forefront of technology.
- Benefits: Enjoy opportunities for remote work and access to cutting-edge tools and technologies.
- Why this job: Be part of a dynamic culture that merges research, trading, and innovative tech solutions.
- Qualifications: 6+ years in Linux-based storage systems; strong skills in performance tuning and DevOps tooling required.
- Other info: Passion for high-performance infrastructure is essential; bonus points for containerization experience!
The predicted salary is between 48000 - 84000 £ per year.
We’re partnering with a leading global quantitative investment firm to find a Senior Storage Engineer to join their core infrastructure team. In this role, you will work closely with research and trading teams to build and support high-performance, scalable storage systems powering advanced AI/ML and HPC workloads.
- 6+ years of experience in large-scale, Linux-based storage systems
- Strong performance tuning and benchmarking skills (storage, network, Linux kernel)
- Solid experience with DevOps tooling (Terraform, Ansible, GitLab, Jenkins)
- Proficiency in Python, Golang, or similar languages
- Familiarity with monitoring/observability tools like Splunk, Prometheus, and Grafana
- Bonus: experience with containerization and orchestration (Docker, Kubernetes)
If you are passionate about high-performance infrastructure and want to work at the intersection of research, trading, and cutting-edge technology, make an application or reach out for a chat!
Engineer (Implementation) employer: NJF Global Holdings Ltd
Contact Detail:
NJF Global Holdings Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineer (Implementation)
✨Tip Number 1
Network with professionals in the quantitative investment and storage engineering fields. Attend industry meetups or webinars to connect with potential colleagues and learn more about the latest trends and technologies that are relevant to the role.
✨Tip Number 2
Showcase your hands-on experience with large-scale, Linux-based storage systems by discussing specific projects you've worked on. Be prepared to explain how you approached performance tuning and benchmarking in those projects during any interviews.
✨Tip Number 3
Familiarise yourself with the DevOps tools mentioned in the job description, such as Terraform and Ansible. Consider setting up a personal project where you can demonstrate your skills using these tools, which will give you practical examples to discuss in interviews.
✨Tip Number 4
Stay updated on the latest developments in AI/ML and HPC workloads. Being knowledgeable about how these technologies interact with storage systems will not only impress interviewers but also show your genuine interest in the role and its challenges.
We think you need these skills to ace Engineer (Implementation)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with large-scale, Linux-based storage systems. Emphasise your performance tuning and benchmarking skills, as well as your familiarity with DevOps tools like Terraform and Ansible.
Craft a Compelling Cover Letter: In your cover letter, express your passion for high-performance infrastructure. Mention specific projects where you've successfully implemented scalable storage systems and how they relate to AI/ML and HPC workloads.
Showcase Relevant Skills: Clearly list your proficiency in programming languages such as Python or Golang. If you have experience with monitoring tools like Splunk or Grafana, make sure to include that as well.
Highlight Team Collaboration: Since the role involves working closely with research and trading teams, provide examples of past experiences where you collaborated effectively with cross-functional teams to achieve project goals.
How to prepare for a job interview at NJF Global Holdings Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with large-scale, Linux-based storage systems. Highlight specific projects where you implemented performance tuning and benchmarking, as this will demonstrate your expertise in the field.
✨Familiarise Yourself with DevOps Tools
Since the role requires solid experience with tools like Terraform, Ansible, and Jenkins, make sure you can talk about how you've used these in past projects. Consider preparing examples that illustrate your proficiency and problem-solving skills.
✨Demonstrate Your Programming Knowledge
Brush up on your Python or Golang skills, as these are essential for the position. Be ready to discuss any relevant coding experiences or challenges you've faced, and if possible, prepare to solve a coding problem during the interview.
✨Understand Monitoring Tools
Familiarity with monitoring and observability tools like Splunk, Prometheus, and Grafana is crucial. Be prepared to explain how you've used these tools to enhance system performance and reliability in previous roles.
