Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment—on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy.
Responsibilities: * Develop new and improve currently existing testing tooling; * Develop and maintain testing infrastructure and automated tests; * Automation of test results management (storing, archiving, searching, analysis); * Debug and troubleshoot test results and work with component development teams to analyze them; * Improve the testing procedures in AI project related QA * Work with geographically distributed international teams on technical challenges and quality improvements.
Requirements: * Strong knowledge of testing methodologies and techniques (functional, non-functional, integration, system, HA & failover, etc.); * 4+ years of experience in testing using Python, developing testing tools; * Coding abilities using shell scripting; * Experience with virtualization software; * Strong knowledge and experience of UNIX or Linux operating environments; * Knowledge and understanding of networking concepts (OSI model, TCP/IP, etc.); * Experience with GIT; * Experience with CIS like Jenkins; * Experience with REST API; * Good English communication skills (Upper-Intermediate or higher), both written and verbal; * Motivated and dedicated to learning and collaboration; * Ability to work in a fast-paced environment and learn quickly.
Desired: * Experience with virtualization software; * Experience with Kubernetes; * Experience with OpenStack; * Experience with public cloud providers; * Experience with release cycles
