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Enterprise Software, Cloud Computing, Data Storage

Software Engineer (Cloud Performance)

California, United StatesHybridFull Time$130,000–$225,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

NetApp is seeking a Software Engineer specializing in Cloud Performance to design, develop, and optimize cloud storage services and distributed systems. This role involves collaborating with cross-functional teams to enhance performance, scalability, and cost-efficiency of cloud platforms. The ideal candidate will be systems-focused, analytical, and creative, with experience in performance analysis, AI/ML techniques applied to performance engineering, and systems programming. Responsibilities include designing benchmarks, analyzing results, developing performance tools, and evaluating design alternatives to meet customer and market requirements.

## Overview

At NetApp, we have a history of helping customers turn challenges into business opportunities. That’s because we bring new thinking to age-old problems, like how to use data most effectively in the most efficient possible way. As an Engineer with NetApp, you’ll have the opportunity to work with modern cloud and container orchestration technologies in a production setting. You’ll play an important role in scaling systems sustainably through automation and evolving them by pushing for changes to improve reliability and velocity.

Own Every Moment at NetApp

At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins.

## 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.
  • 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

  • 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).

## Education

  • A minimum of 5 years of experience is required. 6 to 8 years of experience is preferred.
  • A Bachelor of Science in Electrical Engineering or Computer Science; or equivalent experience is required. Master of Science, or PhD Degrees are preferred.

Compensation:
The target salary range for this position is $130,000-$225,000. 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.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at NetApp

At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. now.

Submitting an application
To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.

## Our values

Put the customer at the center. Care for each other and our communities. Think and act like owners. Build belonging every day. Embrace a growth mindset.

## Benefits

### Volunteer time off

40 hours of paid volunteer time each year.

### Well-being

Employee Assistance Program, fitness, and mental health resources to help employees be their best.

### Time away

Paid time off for vacation and to recharge.

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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