Senior Cloud Platform Engineer

Palo Alto Networks, Inc.; Santa Clara (CA); On-site; USD 156,000 - 253,000; Full time

Job summary

Palo Alto Networks, Inc. is seeking a seasoned software engineer to own the end-to-end development lifecycle for cloud-native security services.

You will design, implement, and operate distributed systems using Golang and Python in a GCP/AWS environment, with strong emphasis on observability and AI-assisted productivity. Collaborate with senior engineers and cross-functional teams, participate in CI/CD, and contribute to security posture improvements across PLM and QA.

Qualifications

• Strong programming and scripting skills (Golang, Python, etc).
• Solid understanding of infrastructure and cloud environments (experience with k8s infra context and GCP preferred, AWS experience acceptable).
• Hands-on experience developing and operating cloud-based services.
• Willingness and ability to leverage AI tools and agents to improve productivity across research, design, implementation, and operational support activities.
• Experience with observability frameworks and operational monitoring for cloud-native services (metrics, logging, tracing, and alerting).

Responsibilities

• End-to-end development lifecycle, including requirements analysis and technical design.
• Implementation and QA collaboration, release and deployment.
• Ongoing maintenance and operational support of distributed cloud services.
• Participation in on-call rotations and customer interactions for production support.

Skills

Go

Python

Cloud-native

Kubernetes

GCP

AWS

Observability

AI tooling

CI/CD

Education

Bachelor’s degree in Engineering, Computer Science or related field

Master’s degree (preferred)

PhD (optional)

Tools

Kubernetes

GCP

AWS

JSON

YAML

XML

Job description

Palo Alto Networks, Inc. is seeking a seasoned software engineer to own the end-to-end development lifecycle for cloud-native security services.

You will design, implement, and operate distributed systems using Golang and Python in a GCP/AWS environment, with strong emphasis on observability and AI-assisted productivity. Collaborate with senior engineers and cross-functional teams, participate in CI/CD, and contribute to security posture improvements across PLM and QA.