Software Engineer in Data Management, ATLAS Datum:
6 juli, 2026
Tid:
11:59
Placering:
CERN
Mer information We are offering a position within the ATLAS Experiment at CERN, contributing to the development and operation of Rucio, a widely used open-source scientific data management system supporting some of the largest scientific collaborations in the world. Experiments such as ATLAS, CMS, Belle II, SKA, DUNE, and others rely on Rucio to manage globally distributed data at the multi-exabyte scale.
Rucio is developed across CERN’s Research & Computing Sector within the EP-ATL-CO section, which focuses on extending, integrating, and operating the system in support of the ATLAS Experiment.
You will join a team of software engineers and computing specialists working on distributed scientific data management. Your work will include contributing to the design and development of Rucio and ATLAS-specific components, supporting the operation of the Rucio deployment for the ATLAS Experiment, and collaborating closely with experts across CERN, the ATLAS collaboration, and the wider Rucio open-source community. You will also contribute to the evolution of the system to meet the data challenges of the High-Luminosity Large Hadron Collider (HL-LHC).
Be sure to meet the eligibility criteria
You are a national of aCERN Member State or Associate Member State. Currently, we cannot consider applications from Pakistani and Lithuanian nationals for positions with a 2026 start date, as the ceiling defined under Article II.5 of the Associate Membership Agreement has been reached.
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.
Please pay attention to the additional criteria and requirements for this specific position and mentioned above.
#J-18808-Ljbffr
6 juli, 2026
Tid:
11:59
Placering:
CERN
Mer information We are offering a position within the ATLAS Experiment at CERN, contributing to the development and operation of Rucio, a widely used open-source scientific data management system supporting some of the largest scientific collaborations in the world. Experiments such as ATLAS, CMS, Belle II, SKA, DUNE, and others rely on Rucio to manage globally distributed data at the multi-exabyte scale.
Rucio is developed across CERN’s Research & Computing Sector within the EP-ATL-CO section, which focuses on extending, integrating, and operating the system in support of the ATLAS Experiment.
You will join a team of software engineers and computing specialists working on distributed scientific data management. Your work will include contributing to the design and development of Rucio and ATLAS-specific components, supporting the operation of the Rucio deployment for the ATLAS Experiment, and collaborating closely with experts across CERN, the ATLAS collaboration, and the wider Rucio open-source community. You will also contribute to the evolution of the system to meet the data challenges of the High-Luminosity Large Hadron Collider (HL-LHC).
Be sure to meet the eligibility criteria
You are a national of aCERN Member State or Associate Member State. Currently, we cannot consider applications from Pakistani and Lithuanian nationals for positions with a 2026 start date, as the ceiling defined under Article II.5 of the Associate Membership Agreement has been reached.
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.
Please pay attention to the additional criteria and requirements for this specific position and mentioned above.
#J-18808-Ljbffr
Software Engineer in Data Management, ATLAS Arbeitgeber: Big Science Sweden
CERN ist ein herausragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, an bahnbrechenden wissenschaftlichen Projekten zu arbeiten und dabei innovative Technologien im Bereich Datenmanagement zu entwickeln. Die offene und kollaborative Arbeitskultur fördert den Austausch von Ideen und unterstützt das persönliche Wachstum durch kontinuierliche Weiterbildung und Entwicklungsmöglichkeiten. Zudem profitieren Mitarbeiter von einem internationalen Umfeld, das Vielfalt schätzt und die Zusammenarbeit mit führenden Wissenschaftlern aus der ganzen Welt ermöglicht.
