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Software Engineer, Customer Success

NetApp

New
Hybrid Senior 88,400 - 114,400 USD/year 🇬🇧 English
Apache Spark SQL Python Test automation AWS GCP

Job description

About the role

DataPelago, a unit of NetApp, builds a data processing engine that accelerates Apache Spark, Apache Flink, Ray and similar frameworks on diverse, large-scale data, including vectorized CPU and GPU. As a Software Engineer, Customer Success, you will build workload assets and automation tools for product validation and support, helping customers deploy and run DataPelago products in production. You will combine product validation and support knowledge with AI to proactively avoid bugs and speed up diagnosis and resolution.

Key responsibilities

  • Develop synthetic workload queries and datasets for testing the DataPelago Accelerator for Spark (DPA-S).
  • Build analysis and diagnostic tools that examine logs from DPA-S, Apache Spark and the deployment environment to find root causes of functional and performance issues.
  • Handle customer support issues in a product support rotation and escalate them when needed.
  • Run end-to-end product validation, defining, reviewing and executing test plans with colleagues.
  • Analyse validation results and customer issues to suggest configuration tuning, usage recommendations and product bugs.
  • Use automation and AI throughout validation and support.
  • Create bug reports, root cause analysis documents, configuration guides and best practice documents.

Required profile

  • Bachelor's degree in computer science or a related field.
  • 8+ years of experience developing, validating and supporting enterprise data processing software products.
  • 2+ years of direct support to external customers.
  • 2+ years supporting Apache Spark pipelines for data engineering and analytics.
  • Experience deploying and operating data processing products in the cloud (SaaS, VM, container, serverless); GCP, AWS and their Spark offerings preferred.

Required skills

  • Solid knowledge of SQL and Python.
  • Proficiency in testing data products and test automation.
  • Spark: running jobs, resource provisioning, parameter tuning, History Server and UI, and log analysis.
  • Good customer engagement and communication skills.

What we offer

  • Target salary range of 88,400 - 114,400 USD, depending on location, qualifications and experience.
  • Benefits such as health insurance, life insurance, retirement plans, paid time off, leave options, performance incentives, employee stock purchase plan and/or RSUs, subject to regional variation.
  • A hybrid working environment.

Applications are submitted only through the company website; emailing recruiters or HR directly does not affect the process. Some hiring stages may use AI tools to evaluate applications.

Questions fréquentes

Le salaire proposé pour ce poste est de 88-114k USD par an. Le détail figure dans l'annonce.
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Published 40 minutes ago

Expires 1 month from now

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