Remote Senior Staff SRE - Global Cloud Reliability

Palo Alto Networks, Inc.

Madrid

Presencial

EUR 70.000 - 100.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Palo Alto Networks is seeking an experienced SRE to join a fully remote, distributed team. You will manage large-scale production environments across multi-clouds, implement robust monitoring with Prometheus and Grafana, and drive automation with Python.

The role requires strong self-management in a fast-paced cybersecurity setting and close collaboration across time zones. You’ll operate with Kubernetes, Terraform, and CI/CD pipelines, contribute to incident response, and support on-call

Formación

  • 5+ years of experience in SRE roles in production environments at scale.
  • Experience with Kubernetes and Terraform in production.
  • Experience with at least one major cloud platform (AWS / GCP / Azure).
  • Experience building and configuring monitoring systems (Prometheus, Grafana).
  • Familiarity with CI/CD and GitOps tools (GitLab CI, GitHub Actions, Jenkins, Flux).
  • Proficiency in Python scripting and automation.

Responsabilidades

  • Own and operate large-volume, global production environments across multiple cloud providers.
  • Monitor, investigate, and resolve incidents triggered by automated alerting systems.
  • Drive end-to-end troubleshooting across complex distributed systems.
  • Design and improve monitoring and observability (Prometheus, Grafana).
  • Collaborate with CX/CS/Engineering to ensure reliability and performance.
  • Work hands-on with Kubernetes, Terraform, CI/CD pipelines, and GitOps tooling.
  • Develop and maintain automation and tooling in Python.

Conocimientos

Kubernetes
Terraform
Python
AWS
GCP
CI/CD
GitOps
Prometheus
Grafana

Herramientas

GitLab CI
GitHub Actions
Jenkins
Flux

Descripción del empleo

Palo Alto Networks is seeking an experienced SRE to join a fully remote, distributed team. You will manage large-scale production environments across multi-clouds, implement robust monitoring with Prometheus and Grafana, and drive automation with Python.

The role requires strong self-management in a fast-paced cybersecurity setting and close collaboration across time zones. You’ll operate with Kubernetes, Terraform, and CI/CD pipelines, contribute to incident response, and support on-call

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