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