Performance Engineer (Cloud Data Plane Engineering)

Morrisville, NCOnsiteFull Time$147,900–$220,000 /yrPosted 15 days agoVisa sponsorship available

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Required skills

performance analysis
modeling techniques
benchmarking
workload characterization
AI/ML techniques
performance engineering
ML-based capacity planning
performance tradeoffs
multi-tenant environments
elastic cloud environments

Nice to have

Perl
AI-assisted performance engineering
automated regression triage

Role summary

Designs, develops, analyzes, and optimizes cloud software and performance capabilities for cloud storage services and distributed systems. Collaborates with cross-functional engineering teams to model, measure, analyze, and improve the performance, scalability, and cost-efficiency of cloud platforms. Focuses on meeting customer and market requirements while balancing quality, cost, and time-to-market. Seeks an analytical, creative, and systems-focused candidate driven to deliver measurable performance improvements at cloud scale.

Job Summary

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.

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.

Job Requirements

A minimum of 4 years of experience is required.
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 engineeringUnderstanding 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).

Education

A Bachelor of Science, Master of Science, or PhD Degree in Electrical Engineering or Computer Science; or equivalent experience is required.

Compensation:
The target salary range for this position is 147,900 - 220,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.

Sample NetApp interview questions

1
How do you figure out what’s causing a server to use too much CPU?
technicalmedium
2
Find the majority element in an array. Given an array of size n, find the majority element. The majority element is the element that appears more than ⌊n / 2⌋ times. You may assume that the majority element always exists in the array. Input: nums = [3, 2, 3] Output: 3 Explanation: The number 3 appears 2 times, which is strictly greater than n/2 (1.5).
codingmedium
3
Maximum Depth of an N-ary Tree Find the maximum depth of an N-ary tree. Input: root = [1,null,2,null,3,null,4] Output: 4 Explanation: The tree is essentially a straight line, requiring a traversal that reaches a maximum depth of 4 layers.
codingmedium
4
Lowest Common Ancestor on an N-ary Tree Find the lowest common ancestor on an N-ary tree. Input: root = [1,null,2,3,4], p = 2, q = 3 Output: 1 Explanation: Both nodes 2 and 3 are direct children of the root node 1, making 1 the lowest common ancestor.
codingmedium
5
Maximum Subarray Sum Find the maximum subarray sum in an integer array. Input: nums = [-3,-4,-1,-2] Output: -1 Explanation: Kadane's algorithm correctly identifies that the single isolated element -1 provides the highest possible sum.
codingmedium

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