Principal Engineer, Software Development & Production Infrastructure

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Palo Alto Networks

10,000+ employees

🔒 Cybersecurity

🏢 Enterprise

💰 $1M Seed Round - Morta Security on 2013-02

Cybersecurity • Enterprise

Palo Alto Networks is a global cybersecurity company that provides AI-driven platforms, products, and services to protect networks, cloud workloads, endpoints, and applications. Its portfolio includes next-generation firewalls, SASE and Prisma Cloud (CNAPP) offerings, the Cortex security operations suite (XDR, XSOAR, XSIAM), and Unit 42 threat intelligence and incident response services. Palo Alto Networks helps enterprises secure AI deployments, automate SOC workflows, and prevent, detect, and respond to sophisticated threats across hybrid and multi-cloud environments.

📋 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.

🎯 Requirements

• 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.

🏖️ Benefits

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

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