Staff Engineer/Technical Lead, Google Distributed Cloud Storage

• Design, deliver, and architect core file, block, and advanced artificial intelligence and machine learning storage solutions within the highly secure GDC air-gapped ecosystem.
• Define, isolate, and optimize storage performance using key tools to meet strict input/output operations per second, throughput, and latency benchmarks (aligned with Google Cloud best practices) while implementing secure, multi-tenant virtual machine and role-based access control environments.
• Build and enhance observability, monitoring, alerting, and automated remediation capabilities to guarantee continuous, high-availability storage operations.
• Collaborate cross-functionally across organizations to ensure the overall GDC architecture scales effectively under growing demands.
• Mentor and grow team engineers while establishing robust software development processes, governance, and leveraging artificial intelligence tooling to accelerate developer velocity.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 4 years of experience designing, implementing, and optimizing enterprise-grade file and block storage architectures.
• 3 years of experience with software design and architecture.
• 3 years of experience with storage performance characterization, throughput benchmarking, or latency optimization using industry-standard tools.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• 3 years of experience with NetApp ONTAP architecture, including configuring storage virtual machines and multi-tenant role-based access control.
• 2 years of experience designing high-throughput, low-latency storage architectures optimized for scaling AI/ML workloads or air-gapped systems.

• Bachelor's degree or equivalent practical experience.
• 8 years of experience testing, and launching software products.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 4 years of experience designing, implementing, and optimizing enterprise-grade file and block storage architectures.
• 3 years of experience with software design and architecture.
• 3 years of experience with storage performance characterization, throughput benchmarking, or latency optimization using industry-standard tools.