Site Reliability Engineer

Hace 2 días

Madrid, Provincia de Madrid, España Akamai Jornada completa
Overview In this role you will own the reliability and operational readiness of the Guardicore Data and AI Platform, a cloud-native data/AI platform for security analytics. You will work with cross-functional teams to improve availability, performance, security, and cost efficiency, while guiding engineers on service performance. You will lead complex production investigations and leverage AI-driven automation to streamline operations. This is an opportunity to shape platform reliability at scale within a security-focused, AI-enabled product.” Compensaciones / Beneficios
* FlexBase program
* remote/hybrid/work-from-home options
* health and well-being benefits
* financial planning benefits
* life beyond work support Responsabilidades
* Operate secure, highly available Kubernetes infrastructure for core microservices, data pipelines, observability, and internal tooling
* Enhance platform reliability, observability, security, performance, and cost efficiency
* Provide guidance to engineers to increase confidence in service performance
* Lead complex production investigations and drive 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
* Participate in on-call rotations, guiding restoration and repair of service-impacting issues Requisitos principales
* 3+ years in SRE, DevOps, or Platform Engineering with proven troubleshooting of complex systems
* Design and implement monitoring/observability strategy using Prometheus and Grafana
* Production experience with Kubernetes, Docker, Helm, and cloud providers (GCP, Azure, Linode, AWS) on Linux
* Exceptional troubleshooting across network, system, applications, and databases
* Experience with GitOps, CI/CD, and Infrastructure as Code
* Scripting/programming in Python, Go, and Bash
* Experience using AI tools in operations and proposing automation initiatives
* Technical leadership and ownership in cross-team initiatives
* technical leadership
* ownership
* cross-functional collaboration
* Kubernetes
* Docker
* Helm