Staff Engineer/Technical Lead, Google Distributed Cloud Storage

Job description

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.