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DataDirect Networks

High-performance storage for unstructured data

Staff QA Engineer

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 10 years of experience; the job summary additionally asks for more than 12 years of automation experience.
  • Strong proficiency in Python and hands-on experience building test automation frameworks.
  • Hands-on experience with Linux.
  • Good knowledge of shell scripting.
  • Hands-on understanding of high availability concepts, including quorum, failover, and failback.
  • Strong practical knowledge of distributed file systems such as Lustre, GPFS, and Ceph, and basic file system concepts.
  • A BS or MS in Computer Science, Computer Engineering, or equivalent degree/experience.

Responsibilities

  • Design and develop automated and manual test cases to validate product features.
  • Run automated and manual tests to validate product defect fixes and functionality.
  • Work with the Engineering Manager and a geographically distributed team to understand product requirements and features.
  • Triage test failures on a daily basis.
  • Contribute to QA reports and provide input on release metrics.
  • Contribute to and validate product documentation.

Desired Qualifications

  • Experience with Robot Framework for test automation.

About the Company

DataDirect Networks

High-performance storage for unstructured data

DDN provides high-performance data storage systems and software for data-intensive environments, including unstructured data, HPC, and AI workloads. Its products combine hardware and software to manage the data lifecycle, with A³I for GPU-optimized AI, EXAScaler as a parallel file system, IntelliFlash hybrid arrays, and Infinia for fast inference. The company differentiates itself through a dedicated focus on HPC/AI storage, close collaboration with NVIDIA, and a strategy of expanding software-defined storage and file systems via acquisitions. Its goal is to help customers scale data storage and AI workloads efficiently across enterprises, government, academia, and cloud providers.

Company size
1,001-5,000
Company stage
Growth Equity (Venture Capital)
Total funding
$309.9M
Headquarters
Los Angeles, CA
Founded
1998

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