IT Systems & AI Operations Internship

About the role

CENSUS continues its successful paid internship program, allowing interns to build up practical skills and gain hands‑on experience in modern IT systems engineering, cloud infrastructure, as well as emerging AI operations. The intern will collaborate closely with our internal IT & engineering teams globally. The internship is primarily office‑based, with flexibility to work from home on certain days when needed and following internal alignment.

Key responsibilities

• Assist with day‑to‑day administration, provisioning and maintenance of on‑premise and cloud systems.
• Support cloud identity, access management and security governance within the Azure ecosystem.
• Help deploy, monitor and operate local and hybrid AI/LLM infrastructure and inference environments.
• Troubleshoot workstation, server, and network issues while applying core cybersecurity hygiene.
• Document internal workflows, standard operating procedures (SOPs), and system topologies.

Required profile

• Academic or practical background in Computer Science, IT, Systems Engineering or a related field.
• Solid understanding of core networking and protocols (TCP/IP, DNS, DHCP, VPNs, routing, firewall basics).
• Familiarity with administration and troubleshooting in both GNU/Linux and Microsoft Windows environments.
• Knowledge of Microsoft Azure fundamentals and modern identity/security concepts (Entra ID, Azure RBAC, Service Accounts, Key Vault).
• Strong security literacy (least‑privilege, secure authentication, patch management, PKI/TLS).
• Basic scripting abilities (Bash, PowerShell or Python) for automation.
• Analytical mindset, curiosity and eagerness to learn new platforms.
• Good command of written and spoken English.

Required skills

• Linux and Windows system administration.
• Microsoft Azure cloud services and identity management.
• Scripting with Bash, PowerShell or Python.
• Networking protocols: TCP/IP, DNS, DHCP, VPN, routing, firewall basics.
• Security concepts: least‑privilege, PKI/TLS, patch management.
• Containerization tools such as Docker and basic GPU resource management.
• Familiarity with AI/ML operations tools (LLM inference, Docker).

What we offer

• Collaborative environment with experienced cybersecurity engineers.
• Access to technology, training and resources needed to succeed.
• Hands‑on experience across diverse systems, cloud platforms and modern AI operations.
• Opportunity to contribute to tools protecting global clients.
• Competitive salary, benefits and flexible work‑from‑home options.
• Equal‑opportunity employer with inclusive policies.