Senior Principal Software Engineer

4w4 weeks ago

Palo Alto Networks

San Francisco, US · Full-time · $170,000 – $277,000

About this role

At Palo Alto Networks, our mission is to protect our digital way of life. As a Sr. Principal Software Engineer, you will own and shape the future of secure cloud environments using an AI-first mindset. You will lead cloud security automation, driving extreme efficiency to proactively prevent misconfigurations.

Day-to-day, you design and implement GCP cloud infrastructure including compute, BigTable, SQL, Pub/Sub, and networking. You lead weekly global production upgrade cycles and own end-to-end Kubernetes deployments from Helm charts to production rollout. You also manage production databases like MySQL, Redis, and BigQuery, and develop internal Python CLI tools to streamline operations.

Our engineering team is at the core of our products, constantly innovating and defining the industry instead of waiting for directions. We believe collaboration thrives in person, so most teams work from the office full time with flexibility when needed. This model supports real-time problem-solving and stronger relationships.

We need individuals who feel comfortable in ambiguity, excited by challenge, and empowered by the unknown risks. You will operate with high autonomy to innovate and implement cutting-edge infrastructure solutions that prevent cyberattacks. This is your opportunity to do meaningful work alongside passionate people.

Requirements

Experience designing and implementing GCP cloud infrastructure solutions (compute, BigTable, SQL, Pub/Sub, networking).
Proficiency with Kubernetes and end-to-end service deployments (Helm charts, production rollout, scaling).
Strong background in managing production databases (MySQL, Redis, BigQuery, MongoDB, PostgreSQL).
Ability to use AI tools for code optimization and automation, and contribute to AI-native infrastructure.
Proficiency in Python for developing CLI tools and automation scripts.
Comfort with ambiguity, enthusiasm for tackling challenging problems, and a passion for cybersecurity innovation.

Responsibilities

Design and implement GCP cloud infrastructure solutions, including compute reservations, BigTable, SQL, Pub/Sub, and networking.
Lead weekly global production upgrade cycles, managing branch-out processes, version gating, and rollback procedures.
Own end-to-end service deployments on Kubernetes, from Helm chart creation to production rollout and scaling.
Manage and optimize production database infrastructure, including MySQL, Redis, BigQuery, MongoDB, and PostgreSQL.
Utilize AI tools to optimize coding, automate tasks, and contribute to AI-native infrastructure like Vertex AI.
Manage multi-tenant customer infrastructure, including dedicated compute reservations, provisioning, and feature flag management.
Develop internal Python CLI tools and automation scripts to streamline operations and enhance efficiency.
Enhance service reliability by establishing SLAs, comprehensive monitoring, and participating in production on-call rotations.

Benefits

Opportunity to work on cutting-edge cybersecurity technology that protects our digital way of life.
Collaborative in-person work environment with flexibility when needed.
Be part of a team that defines the industry through innovation and disruption.
Use AI tools to augment your impact and drive extreme efficiency.