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.
Skills Required
- Recent graduate in Computer Science, IT, Software Engineering, Data Science, Engineering, or a related field
- Good written and verbal English communication skills
- Curiosity, technical problem-solving ability, and willingness to learn quickly
- Interest in AI, automation, and enterprise technology
- Ability to work independently and as part of a global team
- Experience with Python, SQL, Linux, APIs, Power BI, Git/GitHub, cloud technologies, AI tools, or automation
What We Do
Kaleris is a leading provider of cloud-based supply chain execution and visibility technology solutions. Many of the world's largest brands rely on Kaleris to provide mission-critical technology for yard management, transportation management, maintenance and repair operations, terminal operating systems, and ocean carrier and vessel solutions. By consolidating supply chain execution software assets across major nodes and modes, we address the dark spots and data gaps that cause friction and inefficiency in the global supply chain.
