Cloud Storage Expertise: 12+ years of experience building and operating large-scale, complex distributed cloud computing infrastructure products
Troubleshooting & Tuning: Strong troubleshooting and performance tuning skills; ability to profile and optimize the entire IO path
High-Drive Mindset: Self-motivation to thrive in a fast-paced environment with a high degree of ownership and minimal supervision
Masters of Consistency & Durability: Deep theoretical and practical knowledge of distributed state and data protection at petabyte scale
Software Engineering Fundamentals: Mastery of professional software engineering practices for the full SDLC, including coding standards, build processes, and testing
Communication & Collaboration: Ability to champion and lead initiatives across the engineering organization, such as tech talks and technical reading groups
Public Cloud & AI/ML: Expertise in one or more Public Cloud offerings (AWS, GCP, Azure, OCI) and familiarity with AI/ML frameworks (PyTorch, Tensorflow, JAX) and MLOps
High-Throughput I/O: Experience with cutting-edge I/O architectures like DAOS or SPDK
Networking Foundations: Background in RDMA and high-performance networking, including SmartNICs and RoCEv2
Distributed Systems Mastery: Experience with highly available and scalable systems such as Cassandra, MongoDB, Redis, or Kafka
Theoretical Depth: Strong knowledge of distributed systems fundamentals including CAP Theorem, Paxos/RAFT, consistent hashing, and sharding strategies
Education: Advanced degree (Master's or PhD) in Computer Science, Engineering, or a related field