Quality Assurance Engineer

16 hours ago

San Francisco, California, United States Nextdata Full time
Role Overview

We are seeking a highly skilled Quality Assurance Engineer to join our team at Nextdata, where you will play a critical role in ensuring the excellence of our flagship product, Nextdata OS.

Key Responsibilities
  • Oversee the quality of Nextdata OS in Kubernetes-based stateful systems with multiple components.
  • Develop and maintain our CI and testing infrastructure, including large-scale performance and upgrade tests.
  • Work hand-in-hand with the engineering team and customer-facing field team to deliver the best user experience.
  • Challenge and misuse our latest features to identify weaknesses and ensure robustness.
  • Engage with various data and analytics tools like Snowflake, Spark, and S3.
  • Assist in meeting compliance requirements such as SOC 2 by ensuring our testing practices adhere to industry standards.
  • Utilize Python and other programming languages for rapid prototyping and testing.
  • Work with cloud platforms including Kubernetes (especially managed Kubernetes), Google Cloud, AWS, and Azure.
  • Optimize build and release processes to reduce software lead time.
  • Apply your curiosity and passion for data in ML and analytics applications.
Requirements
  • Extensive QA experience: 7+ years in Quality Assurance Engineering, including implementing large-scale testing infrastructure for system engineering.
  • Data and analytics tools: experience with tools like Snowflake, Spark, S3, etc.
  • CI/CD expertise: proficient in continuous integration and deployment, with a track record of optimizing build and release processes.
  • Programming skills: proficient in Python and/or other programming languages; comfortable with quick prototyping.
  • Cloud infrastructure knowledge: experience with Kubernetes (especially managed Kubernetes), Google Cloud, AWS, and Azure.
  • Data application passion: curiosity and experience in data, machine learning, and analytics applications.
  • Compliance awareness: understanding of compliance standards like SOC 2 and their impact on QA processes.
  • Nice to haves: data mesh understanding, open source contributions, analytical communication, and test-first development.

We recognize that the world of data is complex and ever-changing: data models become outdated rapidly; data is owned across different trust boundaries; it's stored on various platforms; used in multiple modes; and data can't protect itself.

That's why our technology empowers data developers, users, and owners with a delightful experience, treating data products as first-class primitives with built-in trust—we're reimagining the world of data.

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