Teams at Danube

Build production-grade AI applications and agent capabilities using LLM APIs, agent frameworks, RAG pipelines, prompt and context engineering, and tool integrations. Develop reusable AI skills, multi-agent orchestration, and MCP connectors while applying strong Python and software engineering practices. Deploy services using Docker and Kubernetes, integrate databases and data pipelines, and collaborate across global projects and time zones.

Conduct end-to-end performance and scalability testing, including workload modeling, scripting, execution, analysis, and reporting. Identify application, installation, configuration, and infrastructure bottlenecks; develop benchmarks, dashboards, and performance recommendations. Collaborate with development and cross-functional teams, support customer performance issues, analyze logs and code, and improve engineering processes using automation and Generative AI. Work with JavaScript, Python, databases, cloud platforms, monitoring tools, containers, and CI/CD environments.

Manage global Apple and Windows endpoint operations, Microsoft 365 and Azure administration, Intune and Apple device management, procurement, asset tracking, and IT support. Troubleshoot endpoint, networking, application, Linux, and Windows Server issues; maintain documentation, SLAs, onboarding, and offboarding processes. Provide independent support across regions and time zones, including night-shift coverage for U.S. employees.