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KA
kaleris

Managed Services Intern

Chennai · Internship

Expect moderate competitionVerified listingPosted 26d ago

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64Skills
97Experience

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Skills required

11 listed
Diagnostic ToolsKnowledge ManagementWorkflow AutomationPower BIPython (Programming Language)Application Programming Interface (API)Prototype (Manufacturing)SQL (Programming Language)+3 more
Diagnostic ToolsKnowledge ManagementWorkflow AutomationPower BIPython (Programming Language)

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Job description

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.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

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  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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