Storage Engineer

Thurn Partners; London; On-site; GBP 90,000 - 125,000; Full time

Job summary

A leading technology-driven organization is seeking a Senior Storage Engineer to design and implement high-performance storage systems for advanced research environments. The ideal candidate has extensive experience with Linux-based solutions and strong troubleshooting skills. This role involves supporting data-intensive workloads and requires a proactive approach to problem-solving. Full-time employment is offered, and this position is ideal for those passionate about performance and reliability.

Qualifications

• Deep understanding of file and object storage protocols.
• Experience with distributed storage systems.
• Strong troubleshooting skills across the full stack.
• Familiarity with modern CI/CD pipelines and container ecosystems (Docker, Kubernetes).
• Demonstrates a proactive, collaborative approach to problem-solving in complex environments.

Responsibilities

• Design, deploy, and manage large-scale storage solutions.
• Support low-latency compute environments.
• Collaborate with teams to align infrastructure with needs.
• Tune and optimize systems at the OS, storage, and network layers.
• Build infrastructure as code using Ansible and Terraform.
• Develop monitoring and alerting using Prometheus, Grafana, and Splunk.
• Collaborate with engineering and research teams to align infrastructure with evolving needs.

Skills

Linux-based storage solutions

Troubleshooting and performance tuning

Scripting or development in Python or Golang

Prometheus and Grafana

Collaboration in complex environments

Tools

Ansible

Terraform

Docker

Kubernetes

Splunk

NFS

S3

CEPH

GPFS

Lustre

Docker

Kubernetes

Job description

This range is provided by Thurn Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Thurn Partners

A leading technology-driven organization is seeking a Senior Storage Engineer to contribute to the design, implementation, and support of high-performance storage systems used in advanced research and computing environments.

This role focuses on delivering scalable, low-latency infrastructure to support data-intensive workloads, including machine learning and high-performance computing (HPC).

Key Responsibilities:

• Design, deploy, and manage large-scale Linux-based storage solutions


• Support high-throughput, low-latency compute environments and workflows


• Work with technologies such as NFS, S3, CEPH, GPFS, Lustre, ROCE, and Infiniband


• Tune and optimize systems at the OS, storage, and network layers


• Build infrastructure as code using tools like Ansible and Terraform


• Develop monitoring and alerting using Prometheus, Grafana, and Splunk


• Collaborate with engineering and research teams to align infrastructure with evolving needs

Ideal Candidate Profile:

• Deep understanding of file and object storage protocols and distributed storage systems


• Strong troubleshooting and performance tuning skills across the full stack


• Experience with scripting or development in languages such as Python or Golang


• Familiarity with modern CI/CD pipelines and container ecosystems (e.g., Docker, Kubernetes)


• Demonstrates a proactive, collaborative approach to problem-solving in complex environments

This is a technically challenging position suited to someone passionate about performance, scale, and reliability in high-demand compute environments.

Seniority level

Seniority level: Mid-Senior level

Employment type

Employment type: Full-time

Job function

• Finance and Engineering

Industries

• Financial Services and Engineering Services