As a Managed Services Intern, you will gain hands-on experience supporting mission-critical systems used by container terminals around the world. 

You will rotate across areas including Application Support, EDI, BI, Infrastructure, Monitoring & Diagnostics, while also actively developing AI and Automation solutions that improve how Managed Services operates. 

This is not a shadowing-only internship. You will be expected to learn, contribute and build solutions that deliver measurable value during the six-month program. 

What You’ll Do 

• Learn to monitor, troubleshoot and support the N4 Terminal Operating System and supporting technologies. 

• Assist with incidents, system alerts, EDI, infrastructure, BI and operational troubleshooting. 

• Work with monitoring and diagnostic tools to identify problems and trends. 

• Support documentation, runbooks and knowledge management. 

• Participate in testing and deployment of technical changes. 

• Work alongside experienced engineers while gradually taking ownership of operational tasks. 

AI & Automation Development 

A key part of the internship will be identifying and delivering AI and automation improvements for Managed Services. 

You will be expected to: 

• Develop practical AI, automation or scripting solutions using tools such as Python, APIs, AI copilots and workflow automation. 

• Automate repetitive operational and support activities. 

• Apply AI to areas such as log analysis, incident investigation, health checks, documentation, alert analysis and root-cause identification. 

• Prototype and test new ideas with the Managed Services team. 

• Deliver at least one practical AI or automation solution/use case that creates measurable operational value during the internship. 

• Follow security, data privacy and responsible AI standards. 

Who You Are 

• Recent graduate in Computer Science, IT, Software Engineering, Data Science, Engineering or a related field. 

• Curious, technically minded and comfortable solving problems. 

• Interested in AI, automation and enterprise technology. 

• Willing to learn quickly and take ownership. 

• Good written and verbal English communication skills. 

• Comfortable working independently and as part of a global team. 

Experience with Python, SQL, Linux, APIs, Power BI, Git/GitHub, cloud technologies, AI tools or automation is advantageous but not required. 

What Success Looks Like 

By the end of the six-month internship, you should have: 

• Built a solid foundation in enterprise Managed Services. 

• Gained practical experience supporting real customer environments. 

• Developed skills across operations, troubleshooting and customer support. 

• Designed, developed and demonstrated AI/automation solutions that improve efficiency, quality or customer outcomes. 

• Identified an area for continued development into a future Managed Services role. 

Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.