Staff Engineering In Test

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

Performance, Reliability & Scale Testing

Cross-Functional Quality Leadership

Documentation & Quality Standards

Required Qualifications

• 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
• Experience with large-scale performance testing, stress testing, and reliability validation.
• Demonstrated skill in diagnosing complex system issues across logs, traces, network captures, and profiling tools.
• Experience in Hadoop products preferred.

Preferred Qualifications

• Experience validating large-scale data platforms , storage engines, or distributed scheduling systems.
• Experience with AI technologies in context of quality engineering, such as issue triaging, test generation, automation.
• Familiarity with observability technologies such as OpenTelemetry, Grafana, Prometheus .
• Background in compliance or security testing (e.g., access control, backup/restore workflows, Section 508/HIPAA/PCI).
• Contributions to open-source test frameworks or distributed systems validation tools.