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Quality Engineering & System Validation:
- Design detailed test strategies and validation plans for networking and security features in a distributed system.
- Create scalable automated test suites for multi-tenant behavior, concurrency, data consistency, and system-level performance.
Automation Frameworks & Tooling:
- Build and maintain robust automation using Pytest, Docker, Jenkins, and Kubernetes.
- Develop reusable templates and utilities to accelerate test creation and reduce engineering overhead.
Performance, Reliability & Scale Testing:
- Construct and execute performance tests for I/O throughput, latency, NVMe access patterns, and workload stability.
- Use advanced tools like profilers and failure-injection frameworks to uncover issues and analyze bottlenecks.
DataDirect Networks
DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering some of the world's most demanding AI data centers across industries like life sciences, healthcare, and financial services. The company is a global team of passionate professionals dedicated to shaping the future of AI and data management.