We are looking for a highly motivated Senior Software Development Engineer in Test (SDET) to join our Scale-Out Storage Engineering team. The ideal candidate combines strong software development skills with deep testing expertise and has experience validating distributed systems, storage platforms, filesystems, and high-performance data platforms.
This role requires building automation frameworks, developing test infrastructure, and driving quality across the entire software development lifecycle for enterprise-scale distributed storage solutions.
Responsibilities
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Design, develop, and maintain automated test frameworks using Python and PyTest.
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Develop automated functional, integration, regression, performance, scalability, and reliability tests.
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Design and execute fault-injection, failover, recovery, and chaos testing scenarios.
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Develop automation for cluster deployment, upgrades, rolling updates, and disaster recovery workflows.
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Work closely with developers to identify, reproduce, and resolve complex product issues.
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Perform white-box testing by reviewing architecture, design documents, and code changes.
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Build tools to improve test efficiency, coverage, reporting, and product quality metrics.
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Analyze system behavior under node failures, network disruptions, disk failures, and workload stress conditions.
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Participate in CI/CD pipeline development and test automation integration.
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Drive quality initiatives and improve overall engineering productivity through automation.
Required Qualifications
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Bachelor's or Master's degree in Computer Science, Engineering, or related field.
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8+ years of experience in Software QA, Test Automation, or SDET roles.
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Strong programming skills in Python.
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Extensive hands-on experience with PyTest.
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Experience building and maintaining large-scale automation frameworks.
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Strong Linux system administration and troubleshooting skills.
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Experience testing distributed systems and enterprise storage products.
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Strong understanding of:
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Scale-out storage architectures
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File, Block or Object storage
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Data replication and erasure coding
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Experience with Git, CI/CD pipelines, and test automation infrastructure.
Technical Skills
Programming & Automation
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Python
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PyTest
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Shell Scripting (Bash)
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Git
Infrastructure & DevOps
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Jenkins, GitHub Actions
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Docker
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Monitoring and Observability Tools
Success Criteria
The successful candidate will:
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Own quality initiatives for major storage features.
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Build scalable automation frameworks that reduce manual testing effort.
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Improve regression coverage and release confidence.
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Drive performance, reliability, and scalability validation of distributed storage systems.
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Collaborate effectively with development teams to deliver high-quality enterprise storage software.