Staff Engineering In Test

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Skills you'll use

What you'll do

• Quality Engineering & System Validation
• Design detailed test strategies and validation plans for networking and security features for distributed system
• Create scalable, automated test suites that validate Hadoop components for multi-tenant behavior, concurrency, data consistency, and system-level performance.
• AUTOMATION FRAMEWORKS & TOOLING
• Build and maintain robust automation using tools such as Hadoop benchmarks and container-based environments leveraging Docker, Jenkins, Kubernetes.
• Develop reusable automation templates, harnesses, and utilities to accelerate test creation and reduce engineering overhead.
• PERFORMANCE, RELIABILITY & SCALE TESTING
• Construct and execute performance tests covering I/O throughput, system latency, NVMe access patterns, concurrency limits, and long-running workload stability.
• Use advanced tools (profilers, fuzzers, failure-injection frameworks, trace analyzers) to uncover issues in distributed workflows.
• Analyze CPU, memory, disk, and network utilization to diagnose performance bottlenecks and identify regression risks.

Who can apply

• Work closely with architects, developers, release engineering, DevOps, and customer engineering to drive quality-first design decisions.
• Participate in feature design reviews, ensuring testability, observability, and resilience are built into system components.
• Lead root cause analysis (RCA) for complex issues and propose long-term improvements to engineering practices and platform stability.
• Produce clear, detailed test plans, automation guides, design-review feedback, and quality metrics reports.
• Contribute to the development and maintenance of internal QA standards, best practices, and. onboarding materials.
• 10+ years of experience in software quality engineering, with strong focus on distributed systems, system-level testing, or infrastructure platforms.
• Hands-on expertise in test automation using Python, Bash, and modern CI/CD tooling (Git, Jenkins, etc.).
• Strong understanding of: Distributed concurrency, File systems and I/O stack behavior, Storage performance analysis (NVMe, SPDK), Networking, tracing, and system observability

About DDN

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