Experteer Overview In this Staff Platform Engineer role you deliver infrastructure and delivery outcomes across multi-cloud hosting and AI-driven workflows. You implement the technical vision for foundational platform services that enable scalable, secure, and compliant operations. You collaborate with cross-functional teams to accelerate innovation and operational excellence, standardizing patterns and automating deployments. You enable GPU support, autoscaling, and GitOps to keep platforms reliable and high performing at scale. This role supports Pfizer’s digital transformation and patient-centric goals. Compensaciones / Ventajas • Build reusable environment provisioning modules/templates for AWS and Azure • Operate CI/CD pipelines with auditable delivery • Automate onboarding and environment setup • Deliver runbooks, incident response guides,



and self-healing automation • Contribute to platform architecture for shared hosting and delivery pipelines across clouds • Design multi-cloud infrastructure patterns using Infrastructure as Code and GitOps • Drive Kubernetes orchestration, autoscaling, and workload isolation • Refine observability, security, and compliance standards for regulated environments Responsabilidades • Strong experience in platform engineering, DevOps, and cloud-native infrastructure • Deep expertise in Kubernetes, container orchestration, and Terraform (IaC) • Proven experience with multi-cloud architecture (AWS, Azure, GCP) and GitOps (Argo CD) • Strong background in CI/CD pipeline design, observability, and security/compliance frameworks • Bachelor's or master's degree in computer science, engineering, or related technical field Requisitos principales • hybrid work location • diverse and inclusive workplace • disability confident employer • mentoring engineering teams • career development opportunities • opportunity to work on AI and platform initiatives

📌 Staff Platform Engineer, AI (Comunidad de Madrid)
🏢 Pfizer
📍 Comunidad de Madrid