Distributed Computing DevOps Engineer

Join CERN’s IT Computing for Experiments group to contribute to the operation and evolution of a large-scale distributed computing infrastructure supporting global scientific collaborations. You will develop, integrate, and automate operational tools and workflows for the High-Luminosity LHC programme, ensuring reliable data processing and transfer services.

Responsibilities

• Play a key role in the development, integration, and automation of operational tools and workflows in preparation for the HL-LHC.
• Contribute directly to selected computing projects and operations of one or more scientific collaborations as part of your experiment liaison role.
• Monitor and support the operation of a high-scale global distributed computing infrastructure across multiple international sites.
• Evolve and operate monitoring, accounting, and topology systems used to track service availability, data transfers, and resource utilisation.
• Support daily operational activities, including incident tracking, debugging of service issues, and coordination with external sites and users.
• Contribute to the integration and adoption of AI-driven tools and automation technologies within operational processes to improve operational efficiency, automate routine tasks, and enhance service performance and reliability.

Requirements

• Master's Degree or PhD or equivalent relevant experience in the field of Physics, Computing, Engineering or a related field.
• Experience in Linux-based distributed computing environments.
• Proficiency in Python programming and scripting languages.
• Experience with web frameworks, relational and non-relational databases.
• Experience with DevOps workflows including Code Management (Jira, GitLab), Continuous Integration, Delivery and Deployment, Containerisation & Orchestration (Kubernetes), tools widely used for monitoring (Prometheus, Grafana).
• Capacity to critically interpret and analyse data.
• Experience working with large-scale systems such as cloud or grid infrastructures.
• Experience with the computing of large scientific projects or working with scientific communities would be considered a strong asset.
• Ability to work in an international and collaborative environment.

Skills

• Linux-based distributed computing
• Python Programming
• Scripting Languages
• Web Frameworks
• Relational Databases
• Non-Relational Databases
• DevOps Workflows
• Code Management
• Jira
• GitLab
• Continuous Integration
• Continuous Delivery
• Continuous Deployment
• Containerisation
• Kubernetes
• Monitoring Tools Development
• Prometheus
• Grafana
• Data Analysis
• Cloud Infrastructure Management
• Grid infrastructure
• Large-scale systems

Languages

English, French