MLOps & DevOps Engineer for AI Infra on GCP/K8s

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

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.