Experteer Overview
In this DevOps role you will help scale and secure our model inference API and related services in a fast-paced, high-accountability environment. You will collaborate with development and operations to automate delivery, optimize performance, and deploy the stack for enterprise clients. The position supports our mission of delivering cutting-edge quantum and AI software with reliability and security at scale. You’ll work across teams to identify tools, drive improvements, and respond to customer needs, shaping how we bring advanced technology to Fortune 500 clients.

Compensaciones / Ventajas
• Deliver in a fast-paced, high-accountability environment with ownership of outcomes
• Optimize performance, scalability, and reliability of the model inference API and other APIs
• Implement DevOps strategies for the organization
• Automate software delivery processes with development and operations teams
• Identify and implement tools and processes to improve software development and delivery
• Actively seek solutions to customer needs, communicate trends to leadership,



and suggest innovative solutions
• Assist in deploying the software stack to Fortune 500 clients' servers

Responsabilidades
• Bachelor’s degree in Computer Engineering, Computer Science, or related field or equivalent experience
• 2-5 years of DevOps experience
• Experience with AWS cloud, Terraform or CloudFormation for automation
• Experience building CI/CD pipelines (GitLab CI/CD, GH Actions, Jenkins)
• Experience deploying, managing, and optimizing APIs in production
• Familiarity with Docker and Kubernetes
• Proficiency in scripting languages (Bash, Python, Go)
• Ability to troubleshoot infrastructure and security issues
• Strong prioritization and delivery under pressure
• Good command of English and another EU language

Requisitos principales
• Equal pay guaranteed
• Signing bonus
• Relocation package
• Private health insurance
• Educational budget
• Hybrid work opportunity

📌 DevOps Engineer (Mid/Senior) (Madrid)
🏢 Multiverse Computing
📍 Madrid