Senior Software Engineer

NetApp, Inc.; Hyderabad; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

NetApp, Inc. in Hyderabad, India is seeking a Senior Software Engineer for DataPelago data processing. You will design workload assets, automate validation, and contribute to product support to help customers deploy data processing products in production.

You will use AI and analytics to reduce time to diagnose and resolve issues, develop Spark pipelines, and collaborate with cross-functional teams to deliver robust data processing solutions in a cloud environment.

Qualifications

• 8+ years of experience developing, validating and supporting enterprise data processing software.
• 4+ years of direct customer support experience.
• 4+ years of experience supporting Apache Spark pipelines.
• Strong SQL and Python skills.
• Experience with testing data products and test automation.
• Experience with cloud deployments (GCP, AWS) preferred.
• Excellent customer engagement and communication skills.

Responsibilities

• Design and develop synthetic workload queries and datasets for testing.
• Develop analysis and diagnostic tools for Spark logs and deployment environments.
• Field and address customer support issues as part of product support.
• Conduct end-to-end product validation with test plans.
• Analyze validation artifacts to identify configuration tuning and bugs.
• Leverage automation and AI in validation and support processes.
• Create bug reports, RCA documents, and best practice guides.

Skills

SQL

Python

Apache Spark

Test automation

Customer support

Cloud deployment

GCP

AWS

Data processing

Job description

Job Summary

As a Senior 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.

Job Requirements

What You'll Do:

• Design, 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 escalation 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:

• 8+ years of experience related to development, validation and support of enterprise data processing software products.
• 4+ years of experience providing direct support to external customers.
• 4+ 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 intesting data products and testautomation.
• 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.

Education

• A minimum of 8years of experience is required. 8 to 12 years of experience is preferred.
• 8+ years of experience related to development, validation and support of enterprise data processing software products.

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.

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.