High-Performance Research Data Engineer

3 weeks ago


London, Greater London, United Kingdom The Crick Full time
Job Overview

We are seeking a highly skilled High-Performance Research Data Engineer to join our team at The Crick. This role will play a key part in identifying and delivering the continuous improvement of our research computing platforms to support our Research Data Management Strategy.

Key Responsibilities
  • Lead the design and delivery of research data platforms installed on-site and hosted in public/private clouds.
  • Assist other team members in supporting and improving research computing systems, including system configuration management, parallel file systems, and object stores.
  • Manage storage systems on-site and in the cloud, including quotas, directory structures, and distribution of data across storage systems and tiers.
  • Monitor health, security, and performance of systems software/hardware and scientific applications, working actively with vendors and members of the enterprise IT team to troubleshoot and quickly restore services when required.
  • Automate operational tasks and perform changes to systems software/hardware required to improve management and service delivery.
Required Skills and Qualifications
  • Demonstrable experience in administration of high-performance parallel and object storage systems, services, and data for research - e.g., IBM Spectrum Scale, Lustre, Ceph, iRODS, etc.
  • Experience in using/managing/deploying HPC systems and scheduler policies - SLURM, SGE, etc.
  • Advanced experience in Unix/Linux systems administration and integration, including scripting and automation using at least one high-level language, preferably Python.
  • Excellent interpersonal and communication skills, and demonstrable ability to work collaboratively and flexibly as part of a deeply technical engineering team.
Benefits

The Crick offers a competitive salary, benefits package, and opportunities for professional growth and development.

Salary: £60,000 - £80,000 per annum, dependent on experience.



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