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Location
In office (Pune)
Seniority
Senior · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026.

Overview
Company
Impact
Profile match
Architecting the autonomous agentic enterprise. Agivant engineers the agentic AI, applications, platforms, data and operations that make it work.
Role Overview We are looking for an experienced Senior QA Engineer with 3-6 years of software and infrastructure testing experience and hands-on expertise in virtualization and cloud technologies. In this role, you will help ensure the quality, reliability, and readiness of the Cloud suite by validating it across hypervisor and container environments, along with related VM and cloud deployment workflows, through a balanced mix of manual testing and automated verification. Technical Skills at a Glance Virtualization: Proxmox, KVM, VM provisioning, and lifecycle management Containers & Orchestration: Kubernetes (K8s), Huawei Cloud Container Engine (CCE), container deployment, and troubleshooting Automation & IaC: Python, Robot Framework, Terraform, test automation frameworks Cloud & Deployment: Cloud virtualization, manual & automated deployment, configuration, and teardown Quality Engineering: Functional, integration, system, regression, performance, scale, reliability, upgrade, and recovery testing Platforms & Tools: Linux, shell scripting, CI/CD pipelines, Git, container registries

Requirements

Key

Responsibilities Comprehensive Test Execution: Plan and execute functional, integration, system, regression, performance, and reliability testing of the Cloud suite. Environment Validation: Validate the cloud suite across Proxmox/KVM hypervisors, virtual machines, Kubernetes (K8s), and container environments (including Huawei CCE). Workflow Testing: Test VM and container deployment, lifecycle management, system upgrades, storage integration, and recovery workflows across supported environments. Automation & Provisioning: Perform manual validation while building/maintaining test automation using Python and Robot Framework. Use Terraform to provision repeatable test beds. Infrastructure Debugging: Verify cloud virtualization and deployment workflows, reproduce defects, and troubleshoot complex issues across the full infrastructure stack. Defect Management & Reporting: Document test coverage, publish test execution results, report defects, assess release risks, and collaborate closely with cross-functional engineering teams to drive issues to resolution. Required Qualifications & Skillset Experience: 3-6 years of dedicated QA experience in software, systems, or infrastructure testing. Virtualization: Strong hands-on experience with Proxmox and/or KVM, virtual machines, and complete VM lifecycle operations. Containers: Proven experience with Kubernetes (K8s) and container workflows. Hands-on experience with Huawei Cloud Container Engine (CCE) is a strong advantage. Automation: Proficiency in Python and Robot Framework for building and maintaining test suites. Infrastructure as Code: Practical hands-on experience using Terraform for environment provisioning. Testing Depth: Proven background testing cloud virtualization along with manual and automated deployment workflows.

Soft Skills: Exceptional debugging, documentation, communication, and cross-functional collaboration skills.

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