Is Your profile described below? Are you our future colleague? Apply now!

Your duties may include:

• Platform Engineering & Infrastructure Automation: Design, build, and operate cloud native foundational components (Kubernetes clusters, shared services, IaC modules, internal tooling) to support the team’s AI and Data assets.
• Cloud & On Prem Integration: Manage and evolve cloud landing zones (provided by corporate IT) and on premise research clusters; ensure consistent infrastructure automation patterns across environments.
• Internal Developer Platform (IDP) Enablement: Create reusable, self service infrastructure blueprints enabling researchers to deploy demonstrators, pipelines, and experiments efficiently and safely.
• Infrastructure as Code & GitOps: Implement and maintain Terraform/CloudFormation modules, GitOps workflows, policies, and automation to ensure reproducible and secure deployments.
• Platform Observability: Design and maintain robust observability stacks (metrics, logs, traces) to monitor platform health and guide performance improvements.
• Technical Architecture & Advisory: Advise research teams on designing cloud native, scalable architectures aligned with corporate IT guidelines and modern platform engineering good practices.
• Project Contribution: Participate in infrastructure, integration, and platform related work packages for projects such as CitCom.ai, NextLogic, and the AI Factory.
• Knowledge Sharing & Dissemination: Contribute to documentation, technical workshops, project deliverables, and support software disclosures or patents where applicable.
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Education

• Master’s degree or equivalent studies in Computer Science or a related engineering field.
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Experience and skills

• At least 3 years of experience in platform engineering, cloud-native infrastructure, DevOps, or SRE.
• Ability to design, deploy, and operate Kubernetes-based distributed systems.
• Experience collaborating with software engineering and data teams to enable reliable and efficient delivery workflows.
• Strong focus on automation, operational excellence, and developer experience.
• Strong capacity for abstraction, reasoning, and structured problem-solving.
• Demonstrated ability to collaborate across diverse, multicultural teams and translate between technical and organizational contexts
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 To access this job, you should have demonstrated to:

• Hands‑on experience with Kubernetes (K8s) and cloud landing zones (AWS/Azure; GCP appreciated).
• Strong proficiency in Infrastructure as Code: Terraform (preferred), CloudFormation, or similar.
• Experience implementing GitOps workflows (e.g., Argo CD, Flux).
• Knowledge of service mesh, container networking, and cloud‑native security principles.
• Ability to design and maintain CI/CD pipelines tailored to containerized workloads.
• Experience with observability stacks such as Prometheus, Grafana, Loki, ELK, or OpenTelemetry.
• Ability to communicate complex architectural concepts to non‑technical stakeholders.
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