Cloud Storage Test Engineer. Rochester LilyLifestyle

Company Description

At WD, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, WD is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital®, WD®, and .

We are a key partner to some of the largest and highest‑growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world’s biggest companies and hyperscale cloud providers, to meeting the massive and ever‑growing data storage needs of the AI era, WD is fueling a brighter, smarter future.

Today’s exceptional challenges require your unique skills. Together, we can build the future of data storage.

The Storage Test Engineer will serve as a hands‑on technical contributor within Western Digital’s System Integration & Test (SIT) lab, focused on deploying, operating, and validating clustered storage environments that accurately reflect real‑world cloud and datacenter infrastructure. Working closely with the Clustered Storage Test team and HDD System Test groups, this engineer will configure scale‑out storage clusters, design and execute various workloads and SLA validation tests, measure and analyze system and drive performance, and monitor drive health telemetry.

This role is ideal for an engineer with 2–6 years of experience in storage systems or infrastructure who is ready to go deep on distributed storage behavior, performance characterization, and large‑scale fleet operations.

• Deploy and operate scale‑out storage environments – including multi‑node object storage clusters, erasure‑coded pools, and rack‑level storage deployments – configured to emulate real customer datacenter architectures at lab scale.

• Measure and analyze storage system and drive performance – characterizing throughput, IOPS, and latency distributions across workload profiles including AI/ML data access patterns, backup and restore traffic, cloud object storage, and web‑serving workloads – and producing clear performance reports with root‑cause observations.

• Identify and investigate performance anomalies by correlating cluster‑level metrics with drive‑level telemetry, distinguishing between platform bottlenecks, configuration issues, and drive‑level contributors to throughput or latency degradation.

• Analyze technical customer workload studies and translate key variables into realistic test scenarios and validation methodologies.

• Instrument and monitor drive health telemetry – collecting and trending SMART attributes, Error Logs, I/O error rates, and temperature data – to identify early failure indicators and correlate drive health signals with observed cluster performance during long‑run experiments.

• Contribute to fleet management processes for the lab’s HDD inventory, supporting tracking of drive state, physical location, test assignment, and lifecycle status across large populations of test drives.

• Assist with datacenter infrastructure management tasks including rack‑level storage deployments, drive swap procedures, firmware staging, and hardware validation during active cluster tests.

• Document test configurations, performance results, and failure analyses in detailed technical write‑ups that allow peer engineers to reproduce experiments, compare results across configurations, and build on prior findings.

• Collaborate with senior engineers to identify gaps between existing test methodologies and modern cloud storage deployment patterns, then help design and implement updated test scenarios, workload mixes, or cluster configurations that close those gaps.

• Evaluate storage benchmarking tools and workload generators, assessing their suitability for emulating specific customer traffic profiles and recommending configurations that…