Senior QA Engineer – Virtualization & Cloud Infrastructure

Location: Pune, India

Agivant is a new-age AI-First Digital and Cloud Engineering services company that drives Agility and Relevance for our client’s success. Powered by cutting-edge technology solutions that enable new business models and revenue streams, we help our clients achieve their trajectory of growth. Agility is a core muscle, an integral part of the fabric of a modern enterprise. To succeed in an ever-changing business environment, every modern organization needs to adapt and renew itself quickly. We help foster a more agile approach to business to reconfigure strategy, structure, and processes to achieve more growth and drive greater efficiencies. Relevance is timeless and is the only way to survive and thrive. The quest for relevance defines the exponential acceleration of humanity. This has presented us with a slew of opportunities, but also many unprecedented challenges. With technology-led innovation, we help our customers harness these opportunities and address myriad challenges. 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.