Cloud Infrastructure Engineer

4 days ago

Santa Clara, California, United States Palo Alto Networks Full time
About the Role

Palo Alto Networks is a leader in the cybersecurity industry, and we're looking for a talented Site Reliability Engineer to join our team. As a Site Reliability Engineer, you will play a critical role in ensuring the reliability, scalability, and performance of our cloud services.

Responsibilities
  • Design, build, maintain, and scale production services and server farms across multiple data centers for complex and data-intensive cloud services.
  • Design and enhance software architecture to improve scalability, service reliability, capacity, and performance.
  • Write automation code for provisioning and operating infrastructure at massive scale.
  • Work with development teams to ensure applications fit nicely within the infrastructure and scalability/reliability is designed and implemented from the ground up.
  • Participate in on-call rotations to support the infrastructure.
  • Roll up your sleeves to troubleshoot incidents, formulate theories, and test hypotheses to find the root cause.
  • Write postmortem reviews and remediation recommendations.
Qualifications
  • Strong sense of architecture and design for fault tolerance, scale, and stability.
  • Strong development/automation skills, with a focus on Python and Java.
  • 10+ years of Unix/Linux experience, with a strong understanding of shell tools, kernel, networking, and configuration management.
  • Tools-first mindset, with a focus on building tools to increase efficiency and make hard tasks easy.
  • Subject matter expert in one of the following areas: Big Data (Hadoop 2.x, Kafka, Spark, HBase, Elastic Search), Data Center Virtualization (Containers, Mesos, OpenStack, SDN).
  • Experience with configuration management and CI/CD, with a preference for Salt and Jenkins.
  • Familiarity with middleware software, such as Nginx, HA Proxy, RabbitMQ, and typical AWS components.
  • Knowledgeable about collecting metrics, measuring systems, and interpreting data to make decisions.
  • Organized, focused on building, improving, resolving, and delivering, with excellent communication skills.

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