Staff QA Engineer

Posted 9 Days Ago
Be an Early Applicant
Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Expert/Leader
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Design, develop, and execute automated and manual tests for high-performance storage products serving HPC and AI markets. Debug and triage test failures, validate defect fixes, collaborate with distributed engineering teams, contribute to QA reports and release metrics, and validate product documentation. The role requires strong Python automation, Linux and shell scripting skills, distributed file-system knowledge, and understanding of high-availability concepts.
Summary Generated by Built In

Job Summary:

We are looking for a Staff QA Engineer to work on validation of high-performance storage solutions for HPC and AI markets. The ideal candidate will have experience designing, implementing, debugging and running both automated and manual software-based tests in a Linux environment, using shell tools and scripts.

Responsibilities for this role include but are not limited to:

• Design and develop both automated and manual test cases to validate product features. Candidate should have more than 12+years of experience in Automation.

• Run automated and manual tests as needed 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

 

Qualifications:

• BS/MS in Computer Science, Computer Engineering or equivalent degree/experience.

  • Candidates should have at least 10+years of experience.

• Strong proficiency in Python and hands on building Test automation frameworks

• Hands-on experience with Linux

• Good knowledge of shell scripting

• Nice to have experience with Robot Framework for test automation

• Hands-on understanding of High Availability (HA) concepts – quorum, failover, failback, etc.

• Strong practical knowledge of Distributed File Systems (e.g., Lustre, GPFS, Ceph) and basic file system concepts

Skills Required

  • Bachelor’s or master’s degree in Computer Science, Computer Engineering, or equivalent experience
  • At least 10 years of experience
  • More than 12 years of automation experience
  • Strong proficiency in Python
  • 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, or Ceph
  • Basic file-system concepts
  • Experience with Robot Framework for test automation
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The Company
HQ: Chatsworth, CA
706 Employees
Year Founded: 1998

What We Do

DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government and academia customers. Through its DDN and Tintri divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.

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