DevOps / MLOps Engineer

Making Science Group S.A.; Madrid; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Fixed salary based on value and a band

Performance‑based bonus

Flexible Payment Plan (meal/transport/

Day care & medical insurance

23 vacation days + holidays off

Training & language courses

Ambassadors Program

Job summary

Making Science seeks a skilled DevOps/MLOps engineer to join its Helios AI Factory under the AWAKE Venture Studio. You will architect scalable cloud infrastructure, automate deployments, and drive AI‑powered product delivery across rapid project cycles.

You will build and maintain production‑grade RAG/GraphRAG systems, manage GKE/Vertex AI deployments, and ensure robust CI/CD with observability. Collaborative, autonomous, and adaptable, you will thrive in a fast‑paced venture environment.

Qualifications

• Proven DevOps & MLOps track record deploying and maintaining infrastructure in live AI/data‑heavy environments.
• Deep cloud and containerization expertise with hands‑on GCP, Kubernetes (GKE) and Docker experience.
• Infrastructure as Code mastery using Terraform to provision secure cloud ecosystems.
• Automation and Python proficiency to support AI engineering teams and CI/CD pipelines.
• Ability to thrive autonomously in a fast‑paced venture‑builder environment with evolving requirements.

Responsibilities

• Architect & Automate from Scratch: transform bold product visions into robust, automated cloud architectures.
• Power Advanced AI Retrieval Systems: design and scale production‑grade RAG/GraphRAG infrastructure and host databases like Neo4j, Qdrant, Pinecone, or pgvector.
• Enable Multi‑Agent Orchestration: support A2A workflows with low latency networking and secure deployments for LangChain/LlamaIndex.
• Deploy & Scale Enterprise MLOps: manage Kubernetes (GKE), Cloud Run, Vertex AI on GCP; optimize GPU provisioning and model serving.
• Drive CI/CD & Reliability: implement zero‑downtime pipelines, rigorous monitoring, and alerting for high availability.

Skills

DevOps

GCP (Google Cloud)

Kubernetes

Terraform

Python

CI/CD

Tools

Docker

GitHub Actions

GitLab CI

Poetry

Job description

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 global, 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 we'd like you to bring

• Proven DevOps & MLOps Track Record: Demonstrated experience deploying, scaling, and maintaining infrastructure for complex, data‑heavy, or AI‑driven applications in live production environments with active users.


• Deep Cloud & Containerization Expertise: Advanced, practical proficiency with Google Cloud Platform (GCP) services, alongside expert‑level command of containerization (Docker) and orchestration (Kubernetes/GKE).


• Infrastructure as Code (IaC) Mastery: Extensive hands‑on background in provisioning and managing secure cloud ecosystems using Terraform.


• Automation & Python Familiarity: Deep understanding of modern CI/CD tools (e.g., GitHub Actions, GitLab CI) and enough familiarity with the Python ecosystem (Poetry, Pytest) to seamlessly support our AI engineering team.


• Thrive in Uncertainty: A high degree of comfort operating in a fast‑paced venture‑builder environment. You must be highly autonomous, adaptable, and capable of designing scalable infrastructure even as product requirements rapidly evolve.

Perks of joining us

• We give you complete stability with an indefinite job contract.


• We offer a fixed salary according to your worth and experience, plus a performance based bonus.


• Get the most out of your salary with our Flexible Payment Plan (Restaurant Ticket, Transportation Ticket, Day Care Ticket, and Medical Insurance).


• Do you know someone that fits in Making Science? Refer him or her, and you can get a bonus if they're hired!


• Feedback is part of our day to day lives. We recognize a job well done through a continuous feedback model.


• The opportunity to meet our international team with our Ambassadors Program.


• We care about a healthy work‑life balance. You can count on having flexible working hours and one day a week where you can work from home.


• You will never stop learning with us: subsidized training, free language classes, learning capsules, an e‑learning platform, and many more.


• Pack your bags! You'll have 23 vacation days, plus 24th, 31st of December and San Publicito are off, and we have afternoons off on the eve of national holidays.


• Work comfortably and follow your own style, because we don't have a dress code.


• We know how to have a good time!


• Never go hungry with our free daily fruit and our vending machine card!


• Take a break on our terrace, play foosball, darts, or PlayStation


• Be a part of a young, adventurous, and professional team, with people you'll grow fond of!

Challenge the future with us - Join our Making Science team!