
Technical Services Intern
Kaleris
About the Role
This is a Technical Services Intern role at Kaleris focused on AI initiatives and innovation, infrastructure, and cloud support, and IT security.
Key Responsibilities
- AI Initiatives and Innovation
- Research and trial AI tools for IT operations (AIOps), including log analysis, anomaly detection, alert triage, and root-cause support.
- Build prototypes using LLMs to generate runbooks, health-check reports, and troubleshooting guides.
- Help create AI assistants that search internal documentation and past incidents.
- Write reusable prompts, templates, and how-to guides.
- Run short demos to help colleagues adopt AI.
- Track and report time saved and quality gained from using AI on real work.
- Infrastructure and Cloud
- Support the build, configuration, and maintenance of Linux and Windows servers, databases, and virtual or cloud environments (Azure, AWS).
- Automate repetitive tasks with scripting (Python, PowerShell, Bash) and infrastructure-as-code (Terraform, Ansible).
- Assist with monitoring, performance testing, backups, and disaster-recovery exercises.
- Help prepare technical documentation, diagrams, and reports for customers.
- IT Security
- Assist with security hardening, patching, and vulnerability scanning.
- Support access control, certificate management, and secure remote access.
- Help define safe-use guidelines for AI tools in IT operations, including data privacy and access controls.
Qualifications and Skills
- Recent Degree or Diploma in IT, Computer Science, Information Systems, Networking, or Cybersecurity.
- Basic knowledge of Linux and/or Windows administration.
- Basic knowledge of networking fundamentals (TCP/IP, DNS, firewalls).
- Basic scripting ability in Python, PowerShell, or Bash.
- Regular, practical use of AI tools (e.g., ChatGPT, Claude, Copilot) in study or personal projects.
- Curiosity, a problem-solving mindset, and confidence working with colleagues and customers.
- Good written and verbal communication in English.
Advantageous
- A project applying AI or automation to IT operations, security, or cloud (final-year project, home lab, or GitHub).
- Entry-level certifications such as CompTIA Security+, Azure Fundamentals (AZ-900), Azure AI Fundamentals (AI-900), or AWS Cloud Practitioner.
- Interest in cybersecurity shown through labs or capture-the-flag (CTF) challenges.






