Are you passionate about building reliable and scalable cloud platforms?Would you enjoy supporting cybersecurity products through advanced data and AI capabilities?Join our Akamai Guardicore Data and AI Platform TeamThe team develops and manages a cloud-native Data and AI Platform enabling analytics, insights, and AI-driven features for Akamai Guardicore Segmentation. It processes extensive security and contextual data, supporting customers in understanding environments, minimizing risks, and preventing threat proliferation.Designing and operating secure, scalable, and highly available Kubernetes platformsBuilding GitOps-based deployment processes using Argo CD, Helm, and related technologiesDeveloping reusable cloud infrastructure and automation using TerraformImproving CI/CD, developer experience, and self-service platform capabilitiesEnhancing platform reliability, observability, security, performance, and cost efficiencyLeading complex production investigations and driving long-term improvementsCollaborating with DevOps, SRE, software, data, AI,



and security engineering teamDo what you loveTo be successful in this role you will:Demonstrate expertise in DevOps, platform engineering, SRE, or cloud infrastructure with proven ability to optimize and manage systems effectively.Demonstrate extensive production expertise with Kubernetes, containers, and Helm.Have experience with GitOps, CI/CD, and Infrastructure as CodeHave experience with monitoring and observability tools such as Prometheus and GrafanaHave scripting or programming experience using Python, Go, Bash, or similar languagesDemonstrate technical leadership, ownership, and the ability to drive cross-team initiativesAbout usAt Akamai, we make life better for billions of people, trillions of times a day.
Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from

📌 Software Engineer Tech (Madrid)
🏢 Akamai
📍 Madrid