Software QA Engineer
United States · Remote
- Posted 3d ago
- From Hammerspace’s careers page
- Location
- United States
- Work mode
- Remote
- Level
- Staff
- Experience
- 8+ years
- Department
- Quality Assurance
Opens the listing on ats.rippling.com
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About the role
Hammerspace is a fast-growing software company building the data foundation for the AI era. We are changing how organizations access, move, and use unstructured data by eliminating data silos and creating a single, high-performance data environment across sites, clouds, and storage systems—so AI, GPUs, HPC, and data-intensive applications can operate at full speed.
Our technology combines a high-performance parallel global file system with intelligent data orchestration to make data available wherever compute needs it, without disruptive migrations or infrastructure lock-in. The result is faster AI pipelines, higher GPU utilization, quicker time-to-insight, and a radically simpler way for researchers, developers, and enterprises to put their data to work.
About the role
We are seeking a seasoned Senior Software QA Engineer with experience in testing Storage, Filesystems, distributed systems and Protocols (NFS, SMB).
Responsibilities:
- Lead the testing of Storage features by participating in product design and building test strategies through hands-on testing and automation
- Review feature designs and provide feedback to the development team to improve product quality and testability
- Devise test strategies to find product vulnerabilities through cross-functional, system and stress testing
- Work closely with developers to understand new and existing features, bug fixes and develop test cases for new features and regression testing
- Collaborate with the tools team to develop test automation for different product features
- Interface and work with the Customer Support team to understand customer issues, reproduce them in-house and debug them
- Work remotely with a global team, communicating effectively via Slack, Zoom, Email, Confluence and Jira.
Qualifications:
- Hands-on experience working on NFS/SMB protocols, Windows or/and Linux
- Must have experience in Multiple operating systems: Linux/Windows/VMWare
- Strong knowledge of release management and testing lifecycle.
- Experience building test pipelines & infrastructure from a QA Engineer perspective
- Working knowledge of NAS File system testing
- Software test development experience with shell scripting, Python
- Experience with packet capture tools like wireshark and tcpdump
- Experience writing and executing complex system level test plans, test cases and test reports
- Track record of being a key contributor in successful projects
- Strong oral and written communication skills, with a strong quality background
- BS in Computer Science with 10+ years of experience or MS in Computer Science with 8+ years of experience
Additional Desired Skills:
- Familiarity with Windows Server and Active Directory administration
Pay range and compensation package:
The anticipated base salary range for this role is $160,000 to $220,000. Actual compensation will be determined by several factors including, but not limited to, level of professional/education experience, skills/abilities, internal equity, location and budgetary considerations. In addition, Hammerspace offers a broad range of health plans for medical, dental, vision, life and disability. We also offer 401k plans and flexible time off.
Equal Opportunity Statement:
To the extent required by state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
Hammerspace is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, gender, religion, sex, sexual orientation, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law.
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About Hammerspace
Data platform for AI anywhereHammerspace offers a high-performance data platform that gives AI workloads access to data wherever it resides.
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