Performance Software Engineer

Design, develop, analyze, and optimize software and performance capabilities for storage services and distributed systems.

In this role you will collaborate with cross-functional engineering teams to model, measure, analyze, and improve the performance, scalability, and cost-efficiency of HW platforms—ensuring customer and market requirements are met while balancing quality, cost, and time-to-market.

The ideal candidate is systems-focused, analytical and creative, and driven to deliver measurable performance improvements at scale.

Job Requirements Design and execute performance benchmarks/workloads; measure, analyze, interpret, and socialize results to identify improvement opportunities.

Apply AI-assisted performance engineering techniques and develop tools (e.g., performance analysis, automated regression triage) to accelerate bottleneck analysis and guide optimization priorities.

Evaluate design alternatives and prototype performance enhancements across platforms and distributed components.

Collect and analyze customer experience and usage patterns; prepare findings and recommendations for engineering and management.

Proficiency with scripting and automation (Python, shell; Perl acceptable), ansible playbooks and comfort working with notebooks (e.g., Jupyter).

Hand on experience with performance analysis, modeling techniques, benchmarking, and workload characterization Strong background in Linux (such as RHEL or Ubuntu) administration.

Understanding of networking protocols and storage management is a plus.