We are seeking a System QA Automation Engineer to drive the validation of our high-performance distributed storage platform, designed for massive AI workloads. In this role, you will architect automation frameworks and tests from the ground up, ensuring seamless integration with the worlds leading orchestration platforms (Kubernetes, OpenShift, OpenStack, Terraform, and vSphere). You will be responsible for defining test strategies, building Python-based tools, and certifying our NFS drivers across a complex matrix of Linux environments.
Key Responsibilities:
Design, develop, and test complex distributed storage products from scratch using Python to interface with storage controllers and orchestration APIs.
Validate storage provisioning, management, and performance within Kubernetes, OpenShift, OpenStack (Cinder/Manila), and VMware vSphere environments.
Lead the testing and certification of NFS drivers (v3/v4) on diverse client operating systems (various Linux distros, Windows Server).
Requirements: Experience: 6+ years of proven experience in QA automation, with a focus on storage, infrastructure, or distributed systems.
Good level in Python (OOP) for building robust test frameworks and test procedures.
Deep hands-on experience with Kubernetes (K8s) / Red Hat OpenShift / OpenStack architecture and services
Deep understanding of operating systems (Unix, Linux, Windows).
Experience in large-scale systems, distributed environments, and cloud-native orchestration platforms.
Strong expertise in software system testing, CI/CD automation, and software reliability engineering.
Demonstrates excellent problem-solving and critical thinking abilities to identify and address complex issues in software systems.
Understanding of QA processes and procedures.
Preferred Skills:
Experience with public cloud platforms (AWS, Google Cloud, Azure).
Knowledge of advanced networking (TCP/IP tuning, RDMA/InfiniBand).
Experience with Terraform for Infrastructure as Code.
Familiarity with storage protocols beyond NFS (e.g., NVMe-over-Fabrics, S3).
B.Sc. or B.A. degree in Computer Science or Engineering.
This position is open to all candidates.