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Site Reliability Engineer (Guardicore AI Platform) - Remote

akamai technologies·EU·Spain·mid
dockerkuberneteshelmawsgcpazurelinuxllmdevopssreprometheusmicroservices
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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 Team! The 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. Partner with the best As a Site Reliability Engineer, you will take technical ownership of the reliability, availability, performance, and operational readiness of the Guardicore Data and AI Platform. You will be responsible for: Operating secure, highly available Kubernetes infrastructure for core microservices, data pipelines, observability, and internal tooling. Enhancing platform reliability, observability, security, performance, and cost efficiency. Providing guidance to engineers and developers to increase confidence that their services are performing as expected. Leading complex production investigations and driving long-term improvements. Leverage LLMs and AI-driven automation to auto-remediate incidents and streamline operations. Partner across DevOps, Software, Data, AI and Security engineering Teams to investigate and troubleshoot complex problems. Participating in on-call rotations, guiding restoration and repair of service-impacting issues. Do what you love To be successful in this role you will: 3+ years of experience in SRE, DevOps, or Platform Engineering, with a proven track record of mastering and troubleshooting complex system architectures." Demonstrate ability to design and implement a comprehensive monitoring and observability strategy using tools like Prometheus and Grafana. Have production experience with Kubernetes, Docker, Helm, and third-party clouds (GCP, Azure, Linode, AWS) on Linux-based infrastructure. Have exc

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