Internship AI-assisted DevOps monitoring & incident analysis
Listed on 2026-06-20
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
How will you make incident analysis faster and smarter with artificial intelligence? How will you help engineers move faster from alert to solution? How must we trust AI insights? Are these questions you would like to research and find answers on? Then this internship could be interesting for you!
During this internship at Rabobank, you will work on a Proof of Concept that explores how agentic AI can support Dev Ops engineers with incident analysis. You will investigate how artificial intelligence can explain, summarise and translate signals from monitoring data into useful insights. In this way, you contribute to reliable digital services for customers.
Responsibilities- Investigate how agentic AI can support root cause analysis.
- Help build smart incident summaries for fast communication.
- Explore how alerts can be linked into clear and meaningful stories.
- Duration: 4–6 months
- Hours per week: 32–36
- Start date:
September or later
- Enrolled in a HBO/University course within AI, IT or Engineering.
- Interested in backend development with Java, Kotlin or Spring Boot.
- Curious about artificial intelligence, Copilot and automation.
- Willing to work with log and monitoring pipelines.
- Enjoys finding out how complex systems behave.
- Proactive and willing to explore unknown topics.
- Enjoys working with others and sharing ideas.
Learning is central during your internship. You will work in an open and friendly Dev Ops team where there is room to ask questions, share ideas and explore new technology. You will gain hands‑on experience with real systems and learn from experienced engineers who work every day on stable and reliable digital solutions.
Development PathYou will have the freedom to explore your ideas and receive guidance to take the next step. This helps you discover where your talent lies: in backend development, artificial intelligence, monitoring, incident analysis or the combination of these areas.
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