Platform Engineer (RCS-SIS-TS-2025-272-LD)

Requirements

• Expertise with GitOps and ArgoCD.
• Kustomize and Helm (chart development/maintenance).
• Git proficiency and GitHub repo/organization management.
• Operation of medium-to-large production Kubernetes clusters and Certified Kubernetes Application Developer (CKAD).
• Grafana dashboard creation and maintenance.
• OpenSearch for logs (indices, templates).
• HAproxy/Kubernetes ingress (stick tables, rate-limiting, traffic shaping).
• AI infrastructure: mCP servers, model serving, ML workflows (Kubeflow), vector databases, embedding services, model management.
• Technical competencies:
• Administration of computing systems: Operating medium-to-large Kubernetes clusters using GitOps (ArgoCD/Kustomize).
• Knowledge and application of software life-cycle tools and procedures: Automating CI/CD pipelines (Git, Helm).
• Installation, operation and maintenance (preventive and corrective) of computing systems: Operating observability and ingress systems (Grafana/OpenSearch/HAProxy).
• Knowledge of system configuration tools: Defining and maintaining configurations with Helm, Kustomize and IaC.
• Development of system software (drivers, system configuration and monitoring, etc.): AI infrastructure operations (MCP, model serving, Kubeflow, vector DB).
• Behavioural competencies:
• Achieving Results: having a structured and organised approach towards work; being able to set priorities and plan tasks with results in mind.
• Communicating Effectively: expressing opinions, ideas and suggestions with conviction and in a logical/structured manner; keeping to the point.
• Solving Problems: testing solutions for long-term suitability, cross-checking with all concerned before implementation.
• Demonstrating Flexibility: adapting quickly and resourcefully to shifting priorities and requirements.
• Learning and Sharing Knowledge: keeping up-to-date with developments in own field of expertise and readily absorbing new information.
• Language skills:
• Spoken and written English, with a commitment to learn French.
• Eligibility and closing date:
• Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States .
• This vacancy will be filled as soon as possible, and applications should normally reach us no later than 27.05.2026 at 23:59 CEST.
• Employment Conditions
• Contract type: Limited duration contract (5 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position.
• Working Hours: 40 hours per week
• Job Flexibility: Hybrid
• This position involves:
• Work during nights, Sundays and official holidays, when required by the needs of the Organization.
• Stand-by duty, when required by the needs of the Organization.
• Job grade: 6-7
• Job reference: RCS-SIS-TS-2025-272-LD
• Field of work: Software Engineering and IT
• Benchmark Job Title: Computing Engineer
• Global Benefits
• A competitive salary (tax free), increasing in line with your years of relevant experience.
• 30 days of paid leave per year plus 2 weeks annual closure.
• Coverage by CERN's comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CE

Benefits

Additional Information

Introduction: You will support development teams and ensure reliable operation of Open Science core services such as INSPIRE, SCOAP3, and CERN Analysis Preservation by delivering modern platform tooling, automation, observability, and infrastructure. This role combines hands on service operations with close collaboration with developers and the fast evaluation of new technologies. Functions: Support development teams with best practices, deployment models, observability, and platform tooling to ensure smooth integration and reliable production operations. Provide and maintain developer tooling (templates, automation scripts, CI/CD workflows, development environments, platform services) to streamline development, testing, and deployment. Operate and improve production services (INSPIRE, CAP, SCOAP³, and related systems), ensuring reliability, performance, scalability, and security; participate in monitoring, incident response, and service lifecycle management. Lead and contribute to postmortems, conducting structured incident analysis, identifying root causes, defining actions, and driving reliability improvements. Design and automate platform components, including Kubernetes resources, GitOps workflows, Helm/Kustomize configurations, and infrastructure-as-code environments to improve reproducibility and reduce operational overhead. Prototype and evaluate new technologies (cloud-native tooling, operators, observability stacks, AI-related infrastructure) and integrate them when beneficial. Enhance developer experience by improving documentation, automation, self-service capabilities, and platform usability. Master's degree or equivalent relevant experience in the field of Computer Science or a related field.

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