Software Engineer, Customer Success

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.

Join teams that innovate to elevate, drive results, and excel together across every function.

Job Summary DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray and others operate on diverse, large-scale data.

Our team of engineers drive and adopt advances in hardware-accelerated computing, parallel processing of large-scale data, query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for specialists to join our engineering team and shape the future of accelerated data processing.

DataPelago Nucleus is a universal data processing engine that is designed to accelerate the processing of diverse data – structured through unstructured – with any parallel processing framework – e.g., Apache Spark – on any infrastructure – including vectorized CPU and GPU.

DataPelago Accelerator for Spark (DPA-S), our product based on DataPelago Nucleus, is running large-scale production applications of many globally renowned customers.

The Opportunity

As a software engineer for DataPelago data processing customer success, you will develop workload assets and automation tools for product validation and product support which will help ensure customers deploy and operate DataPelago data processing products successfully in production.

You will apply AI effectively in combination with the knowledge from both product validation and product support to proactively avoid bugs and issues and to drastically reduce time to diagnose, mitigate, and resolve bugs and issues.

What You'll Do:

• Develop synthetic workload queries and datasets for testing DPA-S, which reflect the essential environment and workload characteristics represented in the field.
• Develop analysis and diagnostic tools that analyze various logs from DPA-S, Apache Spark, and their deployment environment to aid in pinpointing the root cause of functional and performance anomalies and potential mitigations and resolutions.
• Field and address or escalate customer support issues as part of the product support rotation.
• Conduct end-to-end product validation, collaborating with others to define, review, and execute test plans.
• Analyze artifacts from product validation testing and issues raised by customers to identify potential configuration tuning opportunities, product usage recommendations, and product bugs.
• Leverage automation and AI techniques effectively in the entire process of product validation and product support.
• Create bug reports, RCA documents, configuration guides, and best practice documents.

What You'll Bring:

• Bachelor’s degree in computer science or a related field.
• 8+ years of experience related to development, validation and support of enterprise data processing software products.
• 2+ years of experience providing direct support to external customers.
• 2+ years of experience supporting Apache Spark pipelines for data engineering, analytics. Proficient in running Spark jobs from various clients, Spark resource provisioning, Spark parameter configuration and tuning, using Spark History Server and Spark UI, analyzing Spark event logs and other Spark logs.
• Solid knowledge of SQL and Python.
• Proficient in testing data products and test automation.
• Good understanding of the deployment, and operations of data processing products and pipelines in the cloud – in SaaS, VM-based, container-based, and serverless scenarios. Experience with GCP, AWS, and their Apache Spark related offerings preferred.
• Good customer engagement and communication skills.

Compensation

The target salary range for this position is 170,000 - 253,000 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.

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. Apply 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.

AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support—rather than replace—human decision-making.