Distributed Storage Engineer - High-Perf Infra (Hybrid)

Distributed Storage Engineer - High-Perf Infra (Hybrid)

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Hunter Bond

At a Glance

  • Tasks: Design and scale enterprise-grade distributed storage solutions for a leading FinTech firm.
  • Company: Join an elite FinTech firm at the forefront of technology.
  • Benefits: Enjoy competitive pay, hybrid work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on automation and capacity planning.
  • Why this job: Be part of a team that drives innovation in high-performance storage solutions.
  • Qualifications: Experience in storage engineering and a passion for cutting-edge technology.

The predicted salary is between 63000 - 77000 Β£ per year.

Elite Fin Tech Firm is seeking a Storage Engineer to design, deploy, and scale enterprise-grade distributed storage across global infrastructure.

You will work on high-performance platforms like NFS, GPFS, WEKA, and cloud-native solutions to support research workloads.

You will drive automation, capacity planning, and observability, collaborating with compute, networking, and software teams to push platform capabilities forward.

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Distributed Storage Engineer - High-Perf Infra (Hybrid) employer: Hunter Bond

Hunter Bond is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth and development, team members benefit from competitive compensation, comprehensive benefits, and the opportunity to work alongside a talented, low-ego team dedicated to pushing the boundaries of technology in trading systems.

Hunter Bond

Contact Details:

Hunter Bond Recruitment Team

We think you need these skills to ace Distributed Storage Engineer - High-Perf Infra (Hybrid)

Distributed Storage Design
Deployment of Enterprise-Grade Storage
High-Performance Platforms (NFS, GPFS, WEKA)
Cloud-Native Solutions
Automation
Capacity Planning
Observability