Platform Engineer
CERN
📍 Sverige
⏰ Heltid
📋 Arbete utomlands
🗓 Ansök senast 27 maj 2026
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What you'll do
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.
Your responsibilities
-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.
Your profile
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.
Master's degree or equivalent relevant experience in the field of Computer Science or a related field.
Your skills
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).
Has a structured and organised approach towards work; is able to set priorities and plan tasks with results in mind.
Expresses opinions, ideas and suggestions with conviction and in a logical/structured manner; keeps to the point.
Tests solutions for long-term suitability, cross-checking with all concerned before implementation.
Adapts quickly and resourcefully to shifting priorities and requirements.
Keeps up-to-date with developments in own field of expertise and readily absorbs new information.
Spoken and written English, with a commitment to learn French.
Employment conditions
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.
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.
Your responsibilities
-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.
Your profile
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.
Master's degree or equivalent relevant experience in the field of Computer Science or a related field.
Your skills
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).
Has a structured and organised approach towards work; is able to set priorities and plan tasks with results in mind.
Expresses opinions, ideas and suggestions with conviction and in a logical/structured manner; keeps to the point.
Tests solutions for long-term suitability, cross-checking with all concerned before implementation.
Adapts quickly and resourcefully to shifting priorities and requirements.
Keeps up-to-date with developments in own field of expertise and readily absorbs new information.
Spoken and written English, with a commitment to learn French.
Employment conditions
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.
Villkor
Ideal start date: 01/07/2026
Contract duration (in months): 60
Job flexibility: Hybrid
Contract duration (in months): 60
Job flexibility: Hybrid