Job Description

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.