Jobs 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.

Serve as a cloud operations subject matter expert for SaaS infrastructure. Design and operate production Kubernetes and AWS environments, implement Infrastructure as Code, improve CI/CD, GitOps, observability, security, reliability, performance, and cost efficiency. Lead complex incident resolution, define SLOs and capacity plans, introduce automation and AIOps tooling, and mentor engineers. The role also contributes to platform improvements, technical evaluations, hiring, and operational best practices.

Build and maintain cloud-native CI/CD pipelines, containerized applications, deployment automation, and standardized operating environments. Administer source control, provisioning, configuration, security, monitoring, and code-quality tools. Investigate pipeline, deployment, container, connectivity, and Linux issues, document findings, and collaborate across teams. The role also supports SaaS enterprise applications, agile delivery, and globally distributed projects.