We're looking for engineers passionate about system testing, distributed systems, Kubernetes, storage, contemporary virtualisation, AI workloads, and automation. You'll work on complex, real-world scenarios involving HA, resiliency, disaster recovery, scalability, and failure testing across large-scale Kubernetes environments.As enterprises modernise their infrastructure, containers, virtual machines, and AI/ML workloads are increasingly converging on Kubernetes. From traditional enterprise applications and VMs to GPU-accelerated AI training, inference, and data-intensive workloads, Kubernetes is rapidly becoming the common platform for running the next generation of applications. This role gives you the opportunity to test and influence how Portworx delivers enterprise-grade storage, data protection, availability, and resiliency across these workloads, including containerised applications, KubeVirt/OpenShift Virtualisation VMs, and demanding AI/ML workloads running on Kubernetes.Responsibilities : - Own system-level quality for Portworx Enterprise across Kubernetes, storage, and modern virtualisation environments.- Develop comprehensive test plans, test strategies, and automation for multiple concurrent product and feature releases.- Build and maintain scalable automation test suites, with a strong focus on Golang-based automation and code quality.- Drive validation of HA, resiliency, disaster recovery, upgrades, scale, and failure scenarios in large-scale Kubernetes environments.- Identify functional and automation coverage gaps, assess risks early,



and drive improvements to overall product quality.- Ensure CI/CD pipelines and automation infrastructure effectively execute the required functional, regression and system test strategies.Requirements : - Strong SDET mindset engineering for quality and ability to design complex distributed system test failure scenarios.- Ability to lead by example and take end-to-end ownership of product quality.- Strong programming and automation skills, preferably Golang, with Python experience also valuable.- Strong debugging skills across Kubernetes, Linux, storage, and virtualisation.- Ability to mentor engineers and conduct automation/code reviews.- BS/MS with 8 - 12 years of software testing/SDET experience, preferably involving distributed systems, infrastructure, storage, or virtualisation.- Strong hands-on experience with Kubernetes and Kubernetes application lifecycle management.- Experience working with VMWare/HyperV, KubeVirt or Red Hat OpenShift Virtualisation is highly desirable.- Strong background in enterprise storage (file/block/Object) and Kubernetes persistent storage/CSI.- Strong Golang and/or Python programming skills, with Golang preferred.- Experience developing and maintaining automation frameworks and CI/CD pipelines.- Experience with Kubernetes platforms such as OpenShift, EKS, AKS, or GKE is a plus.- Working experience with public clouds such as AWS, Azure and Google Cloud is preferable.- Experience with tools such as Git, Jenkins/GitHub Actions, Jira, Confluence, and X-ray is preferable. (tech)

📌 Software Development Engineer, AWS (Bengaluru)
🏢 PURE STORAGE INDIA PRIVATE
📍 Bengaluru