Staff Software Engineer , Anywhere Cloud - AI Systems & Runtimes

Business Area: Engineering Seniority Level: Mid-Senior level Job Description:   At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry.  Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. Ready to take cloud innovation to the next level? Join Cloudera’s Anywhere Cloud team and help deliver a true “build your own pipeline, bring your own engine” experience — enabling data and AI workloads to run anywhere, without friction or vendor lock-in. We bring the best of public cloud — cost efficiency, scalability, elasticity, and agility — to wherever data lives: public clouds, private data centers, and the edge. Powered by Kubernetes, our hybrid architecture separates compute and storage to maximize flexibility and optimize infrastructure usage. This isn’t just cloud management — it’s about building a consistent, secure, and compliant cloud experience that gives organizations full access to all their data, anywhere. With the acquisition of Taikun, we’re simplifying Kubernetes and cloud management even further, creating a unified, scalable, future-ready platform. If you’re passionate about Kubernetes — not just using it, but building it at the core, managing workloads across hybrid clouds and data centers, and obsessing over performance and DevOps — this is where you belong. We are seeking a Staff Software Engineer to lead the architecture and delivery of our cloud‑native AI platform. In this high‑impact role, you will bridge the gap between cutting‑edge AI research and production‑grade Kubernetes environments. You will build the “nervous system” of our AI stack—optimizing how we run and manage open‑source models (Llama, Qwen, etc.) using K8s‑native patterns like Custom Resources (CRDs) and Operators, enabling agentic AI to thrive, and designing integration patterns that let our product teams and customers consume AI capabilities seamlessly. As a Staff Software Engineer, you will: Enterprise AI Services: Design and implement elegant, scalable application services (Go/Node.js) that wrap AI capabilities for enterprise use. K8s-Native AI Orchestration: Lead the deployment of inference servers (vLLM, Triton) using KServe, KubeRay, or Knative to ensure serverless-style scaling for AI workloads. Developer Velocity: Build internal tooling, SDKs, and "AI Gateways" that enhance team agility and simplify the integration of Foundation Models (Llama, GPT) into product features. RAG & Prompt Engineering: Architect robust Retrieval-Augmented Generation (RAG) pipelines and prompt management services that integrate seamlessly with vector databases and enterprise data sources. Cross-Functional Collaboration: Partner with UI engineers, UX designers, and Product…