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About the Role
Own and shape the future of secure cloud environments with an AI-first mindset. Lead cloud security automation to proactively identify and prevent misconfigurations. Innovate and implement cutting-edge infrastructure solutions to prevent cyberattacks, redefining industry approaches to cloud security and automation.
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.
- Drive cloud cost optimization through resource right-sizing, reservation management, and database disk reduction.
- Enhance service reliability by establishing SLAs, comprehensive monitoring, and participating in production on-call rotations.
- Innovate, design, and improve Next-Generation Firewall and GlobalProtect functionality and performance.
- Own and deliver high-quality features and improvements for critical Next-Generation Firewall system components.
- Collaborate cross-functionally as a networking and security expert to architect innovative software solutions.
Requirements
- B.S. degree in Computer Science, a similar technical discipline, or equivalent practical or military experience.
- 15 years of experience designing and developing scalable software and infrastructure solutions.
- 3 to 4 years of experience managing cross-functional projects in a dynamic environment.
- Deep expertise in GCP and Kubernetes orchestration, including HPA, Node Pools, and Terraform.
- Strong programming skills in C, Python, and Go for automation and backend development.
- Experience managing production databases and standard Linux or Networking troubleshooting.
- Proficiency with GitOps workflows like Flux or ArgoCD and CI/CD pipelines such as GitLab or Jenkins.
- Experience with networking development, HTTP, TCP/UDP, socket programming, and web server backends.
- Proficient in using LLM-based agents like Cursor or Claude Code for coding and architecture.
- Experience with multi-threaded programming and large-scale, distributed software design.
- Excellent verbal and written communication skills to collaborate effectively with multi-functional groups.
- Graduate degree in Computer Science or a similar technical discipline.
- Experience with AI-native infrastructure, including Vertex AI and AI Gateways.
- Familiarity with observability stacks such as Prometheus and Grafana.
- Experience managing Multi-tenant SaaS platforms and cloud environments like AWS or OCI.
- Willingness to participate in on-call rotations and provide off-hours support.
Skills
- GCP
- Kubernetes orchestration
- HPA
- Node Pools
- Terraform
- C programming
- Python programming
- Go programming
- Database management
- Linux troubleshooting
- Networking troubleshooting
- GitOps workflows
- Flux
- ArgoCD
- CI/CD pipelines
- GitLab
- Jenkins
- Networking development
- HTTP
- TCP/UDP
- Socket programming
- Web server backends
- LLM-based agents
- Cursor
- Claude Code
- Multi-threaded programming
- Large-scale distributed software design
- Verbal communication
- Written communication
- AI-native infrastructure
- Vertex AI
- AI Gateways
- Prometheus
- Grafana
- Multi-tenant SaaS platforms
- AWS
- OCI
Work Type
- Full-time
- Onsite
Experience Level
- 15 years of experience designing and developing scalable software and infrastructure solutions
- 3 to 4 years of experience managing cross-functional projects
Education Level
- B.S. degree in Computer Science, a similar technical discipline, or equivalent practical or military experience
- Graduate degree in Computer Science or a similar technical discipline
Salary/Compensations
- $170,000.00 - $277,000.00/yr
About the Company
- Palo Alto Networks® is united by a shared mission to protect our digital way of life.
- We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking.
- Everyone has a voice, and every idea counts.
- To be the cybersecurity partner of choice, we trailblaze the path and shape the future of our industry.
- Our values include Disruption, Collaboration, Execution, Integrity, and Inclusion.
- We weave AI into the fabric of everything we do to augment individual impact.
- Our engineering team is at the core of our products, connected directly to the mission of preventing cyberattacks.
- We are constantly innovating, challenging industry thinking about cybersecurity.
- Our engineers build products to solve problems no one has pursued before, defining the industry.
Equal Opportunity
- We are trailblazers that dream big, take risks, and challenge cybersecurity’s status quo.
- Our mission requires diverse teams innovating together.
- We are committed to providing reasonable accommodations for all qualified individuals with a disability.
- For assistance or accommodation due to a disability or special need, contact accommodations@paloaltonetworks.com.
- Palo Alto Networks is an equal opportunity employer.
- We celebrate diversity in our workplace, and all qualified applicants receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
- All information will be kept confidential according to EEO guidelines.