🤩Who are we?
MagicFeedback is a fast-growing startup that´s building the next generation of customer feedback tools. We help businesses of all sizes collect, analyze, and act on customer feedback to improve their products, services and customer experience.
Our team is distributed between Denmark🇩🇰 in beautiful Copenhagen, and Spain🇪🇸 in sunny Barcelona.
🧐 What are you going to do?
Architect our infrastructure: automated deployments and scaling using Google Cloud Platform (GCP) tools.
Implement rock-solid CI/CD pipelines for smooth scaling and efficiency.
Collaborate with developers to optimize our tech stack (built with Node.js and Python).
Own a piece of our backend, writing efficient code (Node.js or Python).
Basically, you´ll be the architect of our scalability! ️⭐️
📝 Duties and Responsibilities:
Design, develop, and implement infrastructure automation using GCP tools (Terraform, Ansible).
Build and maintain CI/CD pipelines (Jenkins, GitLab CI/CD) for seamless deployments.
Monitor and maintain system health and performance.
Collaborate with developers to optimize our tech stack (Node.js & Python).
🎓 Required skills:
Proven experience in DevOps principles and methodologies (Agile, GitOps).
Strong understanding of infrastructure automation tools (Terraform, Ansible).
Proficiency in CI/CD pipelines (Jenkins, GitLab CI/CD).
Solid knowledge of Linux and scripting languages (Bash, Python).
Minimum 3 years of experience in a DevOps Engineer role.
🧩 Nice to have:
Experience working with cloud platforms (GCP preferred).
Experience in AI technologies or projects
✨ Why join Magicfeedback?
🎁 Benefits:
Competitive salary and benefits package
Learning budget for courses, workshops and conferences
23 days and annual leave plus Barcelona bank holidays
100% remote, Spain based. Office in Barcelona coming soon 🎉
Flexible working hours
Team offsite quarterly in Spain
📌Important Consideration
Language: Fluency in English is essential for effective communication within the international team.
If you´re looking for a challenging and rewarding opportunity to work on cutting-edge machine learning projects, we encourage you to apply! 🎉
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