EU remote
Senior Solutions Architect - Germany
About this role
Who we are We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences.
You in? Why you'll love this job Redis has spent over a decade as the fastest in-memory data platform in the world. That foundation is now becoming something bigger: the memory layer for AI. Vector search, semantic caching, agent memory, session state for real-time applications. Every AI system that needs to be fast and reliable eventually needs Redis. As a Solutions Architect, you'll educate and collaborate with customers to design Redis-powered solutions for their specific business and technical needs, including the new generation of AI-driven applications.
You'll drive POCs, pilots, and evaluations, working hands-on with customers using one of the most widely adopted technologies in the market. This is an early moment in that shift. Joining now means helping shape how Redis shows up in AI architectures across the region, not inheriting a playbook someone else already wrote. The ideal candidate is a good listener with a talent for creative, technical solutions. You enjoy tackling a wide variety of technical challenges patiently and pragmatically, never losing sight of the customer's business objectives.
If you're a technology expert who wants to give customers the best possible experience, and you're excited about being close to how AI infrastructure actually gets built, this is the right challenge for you. Redis hires for this and similar roles on an ongoing basis, so your application will be collected and kept on file as needs arise, subject to applicable law. Redis may not contact you immediately after you apply. What you'll do Help customers meet their technology and business requirements using Redis products, solutions, and services, including AI-focused use cases like vector search, retrieval-augmented generation (RAG), and semantic caching.