CERN

Nuclear Research

PlatformEngineer(RCS-SIS-TS-2025-272-LD)

Geneva, Switzerland CONTRACT
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for not-applicable candidates.

The Brief

“Platform Engineer (RCS-SIS-TS-2025-272-LD) at CERN. Skills: Platform tooling, Automation, Observability, Infrastructure, Kubernetes, GitOps, AI infrastructure. Support development teams with best practices, deployment models, observability, and platform tooling. Ensure smooth integration and reliable production operations”

Industry & Context.

Nuclear Research
Problems you'll solve

Solving Problems; Testing solutions for long-term suitability; Cross-checking with all concerned before implementation

Eligibility Requirements

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

What They're Looking For.

Must Have

Master's degree or equivalent relevant experience in the field of Computer Science or a related field, 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, 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, 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)

Nice to Have

Possibility to extend your contract up to 8 years + eligibility for indefinite contract tenure

What You'll Do.

Support development teams with best practices

Ensure smooth integration and reliable production operations

Provide and maintain developer tooling (templates

development environments

Streamline development

Operate and improve production services (INSPIRE

Participate in monitoring

and service lifecycle management

Lead and contribute to postmortems

Conduct structured incident analysis

Drive reliability improvements

Design and automate platform components

Improve reproducibility and reduce operational overhead

Prototype and evaluate new technologies (cloud-native tooling

AI-related infrastructure)

Integrate new technologies when beneficial

Enhance developer experience

Improve documentation

self-service capabilities

and platform usability

How You'll Work.

Team & Collaboration

Support development teams; Close collaboration with developers; Cross-checking with all concerned before implementation

Communication Scope

Expressing opinions, ideas and suggestions with conviction and in a logical/structured keeping to the point

Process & Methodology

Set priorities and plan tasks with results in mind

Full Job Description

At [CERN](http://home.cern), the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. 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 benef

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