Performance (StorageGRID)

NetApp•Vancouver, NC

About The Position

NetApp is pioneering object storage—S3-compatible, software-defined storage that powers the exponential growth of AI data lakes, analytics, and exabyte-scale enterprise data. As a Principal Engineer for Datapath / Performance, you will own the architecture and technical direction of the StorageGRID S3 data path and its end-to-end performance. This role is ideal for a deeply hands-on technical leader who thrives at the intersection of distributed systems, storage internals, and high-scale performance engineering. You will set the bar for a mission-critical product deployed at hundreds of nodes and exabytes of capacity across the world’s largest enterprises and hyperscalers. As a Principal Engineer on the StorageGRID team, you will be the technical authority for the S3 data path including metadata and performance. You will define the architectural north star for how StorageGRID moves and serves data and resolve the hardest performance and scaling problems affecting AI data lakes. At the Principal level, the role requires exceptional hands-on technical depth, sound architectural judgment, and the ability to influence direction across engineering, QA, product management, and field teams.

Requirements

12+ years of experience in systems, storage, distributed systems, or performance engineering, with a track record of technical leadership
Strong hands-on programming skills in one or more of C/C++, Go, or Python, and experience debugging distributed software in Linux-based environments
Built or owned an object storage system, S3 implementation, or large-scale distributed storage/database product including request data path, data placement, replication/erasure coding, consistency, and failure handling
Experience with Apache Cassandra or comparable distributed databases at scale
Proven ability to influence technical direction across teams without direct authority
Mentor Senior and MTS engineers on data path internals, performance optimization, distributed-systems design, and debugging practices
Collaborate with quality engineering, product management, supportability, support, and field teams to translate customer requirements into data path and performance improvements

Nice To Haves

Experience with S3 protocol semantics (multipart, versioning, Object Lock/WORM) and the data path implications of the API contract
Experience with load balancing, network, storage media (NVMe/SSD/HDD), and x86 hardware
Experience with AI-assisted development and observability tooling for analysis, debugging, testing, and documentation

Responsibilities

Own the architecture and technical implementation of the StorageGRID S3 data path — from ingest/retrieve/delete to metadata storage to the on-disk replicated/erasure-coded data flow.
Lead performance analysis, benchmarking then identify performance improvements and deliver.
Design for scale and geo-distribution—multi-site, cross-grid replication, and global/federated namespace behavior at hundreds of nodes and exabyte scale
Drive large, cross-cutting data path initiatives from architecture through implementation, validation, and release readiness
Stay deep in the code and the hardest bugs; set the technical bar through high-quality design, reviews, root-cause analysis, and pragmatic engineering standards
Lead StorageGRID designs and drive architectural alignment across data path engineering.