Data Storage R&D Engineer

Join CERN’s Storage and Data Management group to develop data storage systems for physics experiments at the Large Hadron Collider (LHC). The role involves R&D, software development, and operations tasks focused on the CERN Tape Archive (CTA) team managing archival and management of 1.5 Exabytes of physics data.

Responsibilities

• Analyse metadata and logs to optimise physical data placement on storage media.
• Research appropriate mathematical models and propose optimisations to CTA's scheduling algorithms within specified cost constraints.
• Develop and maintain software in C++/Linux.
• Participate in operations, troubleshooting and support as part of a team.

Requirements

• You are a national of a CERN Member State or Associate Member State (excluding Pakistani, Lithuanian, Latvian, Cypriot and Croatian nationals due to Associate Membership Agreement limits).
• By the application deadline, you have a master’s degree with 2 to 6 years of professional experience since graduation or a PhD with a maximum of 3 years of professional experience since graduation.
• You are not eligible with only a bachelor’s degree.
• You have never had a CERN fellow or graduate contract before.
• Good technical and analytical skills, with a background in algorithms and optimisation.
• Knowledge of statistics, data modelling and data visualisation.
• Experience in software development with C++ and Python.
• Experience with Linux operating system and command-line tools (e.g. bash shell, grep with regular expressions).
• Knowledge of databases (SQL) is an advantage (training will be provided if necessary).
• Experience with version control systems (e.g. git) is an advantage (training will be provided if necessary).
• Experience with containers (e.g. Kubernetes) is an advantage (training will be provided if necessary).
• Knowledge of monitoring tools (e.g. Grafana, Prometheus) is an advantage (training will be provided if necessary).
• Spoken and written English, with a commitment to learn French.
• Your studies focused on Mathematics or Computer Science.

Skills

• Algorithms and optimisation
• Statistics
• Data Modelling
• Data Visualization
• C++ development
• Python software development
• Linux Operating System
• Command-line tools
• SQL Databases
• Version Control Systems
• Git
• Containerization Technologies
• Kubernetes
• Monitoring Tools Development
• Grafana
• Prometheus

Languages

English, French