SRE: AI Platform Reliability & Automation (Remote)

Akamai; Granada; A distancia; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

FlexBase program

Remote options

Health and well-being benefits

Life beyond work

Descripción de la vacante

Guardicore is seeking a Site Reliability Engineer to own reliability for the Guardicore AI Platform. You will operate secure, scalable Kubernetes infrastructure, drive observability enhancements, and lead on-call responses.

Collaboration with DevOps, Data, AI, and Security teams will be essential to reduce incidents and improve performance. You will guide engineers, implement AI-driven automation, and shape cost-efficient, highly available systems across cloud environments.

Formación

• 3+ years in SRE, DevOps, or Platform Engineering with proven troubleshooting of complex systems.
• Experience with cloud providers (AWS, GCP, Azure) and Linux.
• Experience with Prometheus and Grafana for monitoring.

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 AI-driven automation to auto-remediate incidents and streamline operations.
• Partner across DevOps, Software, Data, AI and Security teams to investigate and troubleshoot complex problems.
• Participate in on-call rotations, guiding restoration and repair of service-impacting issues.

Conocimientos

SRE

DevOps

Platform Engineering

Kubernetes

Docker

Helm

Prometheus

Grafana

Python

Go

Bash

GitOps

CI/CD

IaC

AI in Ops

Herramientas

Kubernetes

Docker

Helm

GitOps

CI/CD pipelines

Descripción del empleo

Guardicore is seeking a Site Reliability Engineer to own reliability for the Guardicore AI Platform. You will operate secure, scalable Kubernetes infrastructure, drive observability enhancements, and lead on-call responses.

Collaboration with DevOps, Data, AI, and Security teams will be essential to reduce incidents and improve performance. You will guide engineers, implement AI-driven automation, and shape cost-efficient, highly available systems across cloud environments.