Site Reliability Engineer (Guardicore Ai Platform) - Remote

Akamai; Gijón; Híbrido; EUR 65.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

FlexBase program

Remote/Hybrid/work-from-home options

Health and well-being benefits

Life beyond work support

Descripción de la vacante

Akamai is seeking an experienced SRE/DevOps professional to own reliability and operability for a cloud-native data/AI platform. You will guide engineers on performance, lead incident investigations, and apply AI-driven automation to improve availability, cost efficiency, and security.

You will collaborate with DevOps, Software, Data, AI and Security teams, participate in on-call rotations, and contribute to a scalable, highly available Kubernetes-based platform using Prometheus, Grafana,

Formación

• 3+ years in SRE, DevOps, or Platform Engineering with proven troubleshooting of complex systems.

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
• 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

Conocimientos

Kubernetes

Docker

Prometheus

Grafana

Linux

GitOps

CI/CD

Infrastructure as Code

Python

Go

Bash

AI tools in operations

cross-functional collaboration

technical leadership

ownership

on-call

Docker

Herramientas

Helm

Descripción del empleo

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.”

• FlexBase program
• remote/hybrid/work-from-home options
• health and well-being benefits
• life beyond work support
• 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
• 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
• Docker