About the role
About Mirantis 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. Mirantis is looking for a motivated and detail-oriented intern to join our team as a Support Specialist / Business Analyst.
What You'll Do Business Analysis & Project Coordination Gather and document business and functional
requirements through interviews, workshops, document analysis, and workflow reviews Break projects into actionable tasks with clear timeframes, owners, and goals Schedule and facilitate regular team meetings; capture decisions, action items, and next steps Prepare clear documentation for internal teams and key stakeholders, leveraging AI writing and summarization tools to improve quality and efficiency Monitor project progress, proactively flag risks, and help drive issues to resolution Maintain and update project reports, dashboards, and status trackers on a regular cadence Use AI-assisted tools to analyze project data, identify patterns, and surface actionable insights Conduct acceptance testing of newly developed features and functionality Technical Support Serve as a first point of contact for customers seeking technical assistance via phone, email, or web portal Troubleshoot technical issues systematically, using AI-powered diagnostic and knowledge base tools where applicable, and escalate unresolved cases to the appropriate support tier or engineering team Track and manage open issues through to resolution within agreed SLAs Provide timely, accurate, and professional responses to customers throughout the support lifecycle Verify that customer systems are fully functional following issue resolution Log all events, problems, and resolutions accurately in the ticketing system Contribute to the internal knowledge base by writing technical notes and user-facing documentation, using AI tools to maintain consistency and clarity Cross-functional Collaboration Work closely with developers, QA engineers, and system engineers to support quality product delivery Apply basic prompt engineering techniques to get effective results from AI assistants in day-to-day tasks Build and maintain positive working relationships with customers and internal stakeholder
