We are seeking a highly skilled and technically robust Staff Engineer in Test to lead system level quality engineering efforts for Networking, security and other enterprise readiness aspects of DDN’s Ecosystem (Primarily for Hadoop Ecosystem).
In this role, you will be a senior technical QE responsible for planning and implementing test strategies and test infrastructures to ensure correctness, stability, performance, and resilience of DDN Ecosystem architecture. You will work across core subsystems—including the I/O path, memory management, networking stack, scheduling layers, multi-tenant services, and NVMe-backed storage. patterns—to ensure platform quality at scale. This is a hands-on, high-impact IC role for someone who can solve hard problems, automate at scale, leverage AI to improve velocity and elevate quality engineering across the organization.
Key Responsibilities
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.
Cross-Functional Quality Leadership
📌 Staff Engineering In Test (India)
🏢 DDN
📍 India