Software Engineer, Customer Success

NetApp, Inc.•Cork, Muns

23d•$88,400 - $114,400

About The Position

DataPelago is developing a data processing engine for traditional analytics and GenAI preprocessing. Its DataPelago Nucleus engine is designed to accelerate diverse structured and unstructured data processing across parallel processing frameworks and infrastructure, including vectorized CPUs and GPUs. DataPelago Accelerator for Spark (DPA-S), based on DataPelago Nucleus, is used in large-scale production applications by global customers. The Software Engineer, Customer Success will develop workload assets and automation tools for product validation and support, helping customers deploy and operate DataPelago data processing products successfully in production. The role applies AI alongside product validation and support expertise to proactively prevent issues and reduce the time required to diagnose, mitigate, and resolve them.

Requirements

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 and analytics.
Proficiency running Spark jobs from various clients; provisioning Spark resources; configuring and tuning Spark parameters; using Spark History Server and Spark UI; and analyzing Spark event logs and other Spark logs.
Solid knowledge of SQL and Python.
Proficiency in testing data products and test automation.
Good understanding of deployment and operations for data processing products and pipelines in cloud environments, including SaaS, VM-based, container-based, and serverless scenarios.
Good customer engagement and communication skills.

Nice To Haves

Experience with GCP, AWS, and their Apache Spark-related offerings.

Responsibilities

Develop synthetic workload queries and datasets for testing DPA-S that reflect essential field environments and workload characteristics.
Develop analysis and diagnostic tools to analyze logs from DPA-S, Apache Spark, and deployment environments, helping identify causes of functional and performance anomalies and possible mitigations or resolutions.
Field and address or escalate customer support issues as part of the product support rotation.
Conduct end-to-end product validation and collaborate with others to define, review, and execute test plans.
Analyze product validation artifacts and customer issues to identify configuration tuning opportunities, product usage recommendations, and product bugs.
Use automation and AI techniques throughout product validation and product support.
Create bug reports, root cause analysis documents, configuration guides, and best-practice documents.