Full-Time QA Engineer
Nextdata is hiring a remote Full-Time QA Engineer. The career level for this job opening is Expert and is accepting USA based applicants remotely. Read complete job description before applying.
Nextdata
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Are you passionate about ensuring the highest quality in complex systems? Do you thrive on breaking things to make them better? We're seeking a dedicated Quality Assurance Engineer to ensure the excellence of Nextdata OS across various deployments. If you have a knack for enhancing CI/CD pipelines and a love for data and analytics tools, this is the role for you!
Your Impact
Ensure Product Quality: Oversee the quality of Nextdata OS in Kubernetes-based stateful systems with multiple components.
Enhance Testing Infrastructure: Develop and maintain our CI and testing infrastructure, including large-scale performance and upgrade tests.
Collaborate Closely: Work hand-in-hand with the engineering team and customer-facing field team to deliver the best user experience.
Break and Improve: Challenge and misuse our latest features to identify weaknesses and ensure robustness.
Interact with Data Tools: Engage with various data and analytics tools like Snowflake, Spark, and S3.
Support Compliance Efforts: Assist in meeting compliance requirements such as SOC 2 by ensuring our testing practices adhere to industry standards.
Prototype Quickly: Utilize Python and other programming languages for rapid prototyping and testing.
Leverage Cloud Infrastructure: Work with cloud platforms including Kubernetes (especially managed Kubernetes), Google Cloud, AWS, and Azure.
Drive Continuous Improvement: Optimize build and release processes to reduce software lead time.
Embrace Data Applications: Apply your curiosity and passion for data in ML and analytics applications.
What We're Looking For
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.ning the world of data.