AI-Native DevOps Engineer Trainee

As a DevOps Engineer Trainee, you will work in a large-scale R&D environment where modern software delivery, automation, and platform reliability are essential. You will learn from experienced engineers and contribute to real CI/CD and platform engineering solutions used by product teams. You will have the opportunity to work with technologies such as Kubernetes, OpenShift, Jenkins, GitLab CI/CD, GitOps, Python, Linux, observability tools, and AI-assisted engineering workflows . This role is ideal for someone who enjoys building, learning, experimenting, automating, and continuously improving systems. You are the type of person who sees repetitive manual work and naturally asks: “Can this be automated?” We value passion over experience, learning agility over credentials, and potential over pedigree. Position: Internship Duration: 12 months Start date (tentative): August, 2026 Location: Hybrid in Aveiro or Amadora, Portugal Education Recommendations: Currently a candidate finishing their BSc or MSc degree in Telecommunications, Computer Science, Electrical Engineering, or a related field with an accredited school. In this role, you will: Learn and contribute to enterprise-level CI/CD, DevOps, and Platform Engineering solutions. Support Kubernetes and OpenShift deployment, operations, Automation, troubleshooting, observability, and monitoring. Develop automation using Python, Shell scripting, Jenkins, GitLab CI/CD, GitOps, and related tools. Participate in troubleshooting, root cause analysis, continuous improvement, and reduction of manual operational work. Explore AI-assisted engineering tools and collaborate with experienced engineers to improve developer productivity and platform reliability. We would like you to have: Ongoing or recently completed Bachelor’s or Master’s degree in Computer Science, Software Engineering, IT, Telecommunications, or a related field. Strong passion for technology, continuous learning, problem-solving, hands-on experimentation, and AI-assisted engineering. Practical experience or strong interest in Kubernetes, including core concepts such as Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, and troubleshooting. Familiarity with CI/CD, Jenkins, GitLab CI/CD, Git, GitOps, Linux, Docker, Python, Shell scripting, cloud-native technologies, modern DevOps practices, and AI tools such as ChatGPT, GitHub Copilot, Cursor, or similar. Good communication, collaboration, self-learning skills, proactive mindset, and willingness to take ownership of learning and improvement. Good communication skills in English are mandatory. Candidates who demonstrate strong passion, practical hands-on experience, and relevant Kubernetes or cloud certifications will be considered priority candidates