Software Engineer (Cloud Performance)

NetApp, Inc. • Waltham, MA

1d • $130,000 - $225,000

About The Position

Design, develop, analyze, and optimize cloud software and performance capabilities for cloud 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 cloud 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 cloud scale.

Requirements

• Knowledge of performance analysis, modeling techniques, benchmarking, and workload characterization.
• Understanding of performance tradeoffs when designing for multi-tenant, elastic cloud environments (latency, throughput, cost, and reliability).
• Hands-on experience applying AI/ML techniques to performance engineering.
• Understanding of AI/ML workloads and their impact on cloud storage performance.
• Strong foundations in operating systems, data structures, and standard programming practices; systems programming in C is highly desirable.
• Proficiency with scripting and automation (Python, shell; Perl acceptable) and comfort working with notebooks (e.g., Jupyter).
• A minimum of 5 years of experience is required.
• A Bachelor of Science in Electrical Engineering or Computer Science; or equivalent experience is required.

Nice To Haves

• 6 to 8 years of experience is preferred.
• Master of Science, or PhD Degrees are preferred.

Responsibilities

• 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, and ML-based capacity planning) to accelerate bottleneck analysis and guide optimization priorities.
• Evaluate design alternatives and prototype performance enhancements across cloud services and distributed components.
• Collect and analyze customer experience signals and usage patterns; prepare findings and recommendations for engineering and management.

Benefits

• Health Insurance
• Life Insurance
• Retirement or Pension Plans
• Paid Time Off
• various Leave options
• Performance-Based Incentives
• employee stock purchase plan
• restricted stocks (RSU’s)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees