Senior AI Platform Engineer — Cloud Infra & DevOps

Palo Alto Networks, Inc.; California; Hybrid; USD 184,000 - 297,000; Full time

Job summary

Palo Alto Networks is seeking an AI Platform Engineer to help build tooling for managing a large hybrid infrastructure and to improve efficiency and performance. You will work across automation, architecture design, monitoring, troubleshooting, security, and reliability, leveraging AI and devops ontology to empower the platform.

The team uses Kubernetes, Docker, GCP, AWS, Terraform, Kafka, Vault, Gitlab, Pub/sub, Bigtable, Memorystore, Bigquery, RabbitMq, MongoDB, Python, and Go.

Qualifications

• BS or MS in Computer Science, a related field, or equivalent professional experience or equivalent military experience
• Expertise in configuration management with a framework such as Kubernetes, Helm, Terraform, or Kustomize
• Expertise in managing distributed and autoscaled applications in Kubernetes clusters
• Experience in Production Engineering, DevOps, or Site Reliability
• Expertise in the public cloud (GCP, AWS, or OCI)
• Strong Linux administration, internals, and network troubleshooting
• Proficiency with programming languages like Python, Golang, or Rust to develop applications and tooling to manage advanced data systems and automate complex tasks
• Experience with CI/CD pipelines, GitLab and GitHub preferred
• Ability to diagnose and troubleshoot complex distributed systems handling high-volume transactions
• Excellent written and verbal communication, able to collaborate and rally support
• Self-disciplined, self-managed, self-motivated, and strong sense of ownership, urgency, and drive
• Passion for infrastructure and monitoring as code
• Ready to understand and dissect new technology stacks quickly

Responsibilities

• Adopt AI-SDLC practices
• Contribute to the success of the DevOps organization
• Develop expertise in new technologies
• Work with developers, researchers, data scientists, and security experts
• Design, build, and operate reliable, secure cloud infrastructure
• Ensure applications are production-ready, scalable, and reliable
• Develop tools and automation frameworks
• Automate robust deployment of robust services
• Orchestrate end-to-end monitoring and alerting
• Participate in on-call rotations with Dev and DevOps teams
• Lead root cause analysis of critical issues
• Mentor and champion DevOps culture
• Participate in design reviews

Skills

DevOps

Production engineering

Cloud expertise

Python/Golang/Rust

CI/CD pipelines

Distributed systems

Monitoring as code

Learning agility

Problem solving

Communication

Ownership

Education

BS or MS in CS or related field

Tools

Kubernetes

Helm

Terraform

Kustomize

Job description

Palo Alto Networks is seeking an AI Platform Engineer to help build tooling for managing a large hybrid infrastructure and to improve efficiency and performance. You will work across automation, architecture design, monitoring, troubleshooting, security, and reliability, leveraging AI and devops ontology to empower the platform.

The team uses Kubernetes, Docker, GCP, AWS, Terraform, Kafka, Vault, Gitlab, Pub/sub, Bigtable, Memorystore, Bigquery, RabbitMq, MongoDB, Python, and Go.