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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 the charge in cloud security automation, driving extreme efficiency to proactively identify and prevent misconfigurations. Operating with high autonomy, your mission is to innovate and implement cutting-edge infrastructure solutions that prevent cyberattacks. You will not just maintain infrastructure, but redefine how the industry approaches cloud security and automation.
Job Responsibility
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 the 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.
Nice to have
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.