Requisition ID1747-Posted08/06/2026-Spain

Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet — the world’s premier network of independent media agencies — we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation. Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We've joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future. As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top‑tier tech talent, fueling projects that accelerate transformation and modernisation. Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data.



Making Science is People Centric, and we actively bet on our employees We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person's contribution is essential to achieve our success.

We believe in the power of diversity and the value of inclusion. At Making Science, our unique experiences, backgrounds, and perspectives are what drive our innovation and success. We are dedicated to providing an equitable hiring process and an inclusive work environment where all individuals are respected and feel they belong. Join us and bring your whole self to work

You will become a core technical pillar of the Helios AI Factory engine within our newly launched AWAKE Venture Studio. Operating in an agile, flat‑structured squad, you will work hand‑in‑hand with our CEO, AI Engineers, product innovators, and researchers. Our mission is to industrialize AI innovation by taking projects from rapid proofs‑of‑concept to integral, enterprise‑scale platforms. Your immediate focus will be engineering the resilient,



highly scalable infrastructure that powers products like Helios Partner—our active corporate AI agent. In this role, you will experience the best of both worlds: the fast‑paced, experimental culture of a startup, backed by the robust, enterprise‑grade resources of a global consultancy with hubs in Madrid, Chicago, and Tbilisi.

What we'd like you to do

- Architect & Automate from Scratch: Transform bold product visions into robust, automated cloud architectures. You will build and streamline the deployment environments for our fast‑paced Python (FastAPI) applications and experimental prototypes.
- Power Advanced AI Retrieval Systems: Design, scale, and maintain the underlying infrastructure required for production‑grade RAG and GraphRAG systems, managing the hosting and scaling of databases like Neo4j, Qdrant, Pinecone, or pgvector.
- Enable Multi‑Agent Orchestration: Support complex agent‑to‑agent (A2A) workflows by ensuring flawless networking, low‑latency communication, and secure deployment architectures for frameworks like LangChain and LlamaIndex.
- Deploy & Scale Enterprise MLOps: Take full ownership of the infrastructure lifecycle on Google Cloud Platform (GCP). You will manage Kubernetes (GKE), Cloud Run, and Vertex AI, optimize GPU provisioning for model serving (vLLM, Ollama), and integrate observability pipelines (Langfuse, Phoenix, W&B;).
- Drive Continuous Integration & Reliability: Implement advanced, zero‑downtime CI/CD pipelines to ensure rapid, secure deployments. You will establish rigorous monitoring and alerting to maintain high availability as we continuously test and benchmark state‑of‑the‑art foundational models

What w

📌 DevOps / MLOps Engineer (Madrid)
🏢 Making Science Group
📍 Madrid