Principal Software Engineer, Storage - AI Infrastructure Innovation

OCI (Oracle Cloud) AI Infrastructure Innovation team is inventing the next generation of storage technologies. You will lead architecture and hands-on development across key layers: distributed processing, transactions, consensus, and storage engines. If you thrive at the intersection of large-scale distributed systems, database internals, and cloud platforms, this role offers the opportunity to advance the state of the art.

Responsibilities

Lead end-to-end architecture, system design, and implementation for distributed storage platforms.

Innovate on query processing, transaction, and IO performance, and work across different components - query planning/optimization, distributed execution engine, index and storage engine.

Develop production-grade, high-performance software features with rigorous durability, correctness, observability, and security.

Define performance goals and success metrics; design benchmarks and conduct large-scale experiments to validate throughput and latency.

Define consistency, replication, and recovery strategies.

Collaborate across storage, networking, compute, and control-plane teams to deliver cohesive end-to-end solutions on OCI.

Mentor engineers, provide technical leadership and reviews, and influence multi-year roadmap and technical standards.

Qualifications

Required

Deep expertise in distributed systems with hands-on delivery of large-scale, fault-tolerant, strongly consistent services.

Experience building distributed execution engines.

Proven ability to design for global scale: sharding/partitioning, placement policies, rebalancing, and multi-region replication.

Strong software engineering background with performance profiling, correctness testing, and rigorous code quality.

Cloud architecture experience on a major public cloud, including observability, orchestration, and incident response.

BS/MS in Computer Science, Electrical/Computer Engineering, or equivalent practical experience; proven technical leadership and mentoring.

Preferred

Familiarity with high-performance IO paths; understanding of cross-region networking and latency trade-offs.

Strong foundation in consensus and transactions.

Expertise with observability at scale: tracing, metrics, logs, eBPF/perf, chaos/failure testing, and SLO-driven operations.

Knowledge of AI/HPC workload patterns and their implications for storage, query processing, and consistency models.