Principal Engineer, Software Development & Production Infrastructure

Emploi pas sur LinkedIn

🕒 il y a 23 jours

🗣️🇺🇸🇬🇧 Anglais requis

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Palo Alto Networks

10 000+ employés

🔒 Cybersecurity

🏢 Entreprise

💰 €1 000 000 Seed Round - Morta Security en 2013-02

Cybersecurity • Enterprise

Palo Alto Networks est une entreprise mondiale de cybersécurité qui fournit des plateformes, produits et services impulsés par l'IA pour protéger les réseaux, les charges de travail cloud, les terminaux et les applications. Son portefeuille comprend des pare-feu de nouvelle génération, des offres SASE et Prisma Cloud (CNAPP), la suite des opérations de sécurité Cortex (XDR, XSOAR, XSIAM), ainsi que les services de renseignements sur les menaces et de réponse aux incidents de Unit 42. Palo Alto Networks aide les entreprises à sécuriser les déploiements d'IA, à automatiser les workflows SOC, et à prévenir, détecter et répondre aux menaces sophistiquées sur les environnements hybrides et multi-clouds.

Description

• Solve complex distributed systems problems at the largest scales in the world. • Scale our production infrastructure and architecture globally using Kubernetes, GCP, and AWS. • Use Go to build and operate highly scalable, resilient backend services. • Develop the internal tools necessary to monitor, alert, and optimize our live production footprint. • Architect & Build: Design high-scale developer tooling, dynamic testing environments, and CI/CD pipelines in a 100% modern, containerized microservices ecosystem. • Infrastructure as Code (IaC): Treat infrastructure as a first-class citizen by defining and managing entire ephemeral environments using declarative IaC (Terraform). • Identify and eliminate systemic bottlenecks across the development lifecycle through architectural changes, advanced tooling, and near-real-time telemetry processing.

🎯 Exigences

• 8–10+ years of relevant experience in high-scale infrastructure, production engineering, systems architecture, or developer platform roles. • 7 + years of experience in at least one backend language (e.g., Go, Python, Java, C++, C#, or Rust). • 5 + years of deep expertise building and debugging systems that deal with CAP theorem trade-offs, eventual consistency, and distributed tracing. • Robust experience working with AWS or GCP and navigating Kubernetes clusters. • Deep knowledge of Linux internals, process management, resource isolation, and networking protocols (OSI model, load balancing, service meshes). • A proven track record of estimating complex work effectively, debugging distributed architectures via logs/traces, and proactively identifying design edge cases.

🏖️ Avantages

• Employee benefits include health insurance, retirement plans, flexible work arrangements, and professional development opportunities.

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