System Administrator (IT Lab Creation)

Company Description Koenig Solutions Pvt. Ltd. is a global IT training provider with over three decades of experience, focused on making high-quality education accessible and impactful.

Partnering with leading technology companies such as Microsoft, AWS, and Oracle, Koenig delivers up-to-date and industry-relevant training across more than 5000 courses. The organization emphasizes learner-centric values, flexible training formats, and personalized experiences through AI-driven innovations like the Fluid Classroom Concept. With a strong presence in over 12 countries and multiple delivery options including live online, classroom, and self-paced learning, Koenig has grown into one of India’s leading education powerhouses.

Recognized with awards such as Microsoft’s Learning Partner of the Year and listings in the Limca Book of Records, Koenig continues to empower individuals to achieve professional growth and personal well-being.

Role Description The System Administrator – IT Lab Creation will join Koenig’s Data Centre team and be responsible for creating, configuring, maintaining, and troubleshooting technical lab environments used for IT training and delivery.

The role involves building and managing labs across infrastructure, virtualization, cloud platforms, networking, servers, and OEM technologies, including Nutanix, Veeam, NVIDIA, Infor, and Synti. The System Administrator will ensure that lab environments are properly configured, documented, tested, and available ahead of scheduled training sessions.

Responsibilities also include troubleshooting infrastructure, connectivity, configuration, and availability issues; monitoring lab environments; maintaining technical documentation and configuration records; and collaborating with internal technical and training teams to translate course requirements into reliable lab environments. The role will also leverage automation and AI tools to improve lab creation, monitoring, troubleshooting, documentation, and overall operational efficiency.

Qualifications

• Candidates should have

3–8 years of relevant experience

in system administration, infrastructure administration, lab administration, data centre operations, or a related technical environment.

• Candidates should possess hands-on experience in creating, configuring, maintaining, and troubleshooting

IT training labs or technical lab environments

.

• Candidates should have strong knowledge of

IT infrastructure and system administration

, including servers, operating environments, networking, storage, and related infrastructure technologies.

• Candidates should possess hands-on experience with

virtualization technologies

and a good understanding of virtualized infrastructure and lab environments.

• Candidates should have a good understanding of

cloud platforms, networking, servers, and data centre technologies

, with the ability to work across different infrastructure environments.

• Experience with

Nutanix, Veeam, NVIDIA, Infor, and Synti

technologies is preferred.

• Candidates should have strong troubleshooting and problem-solving skills, with the ability to diagnose and resolve configuration, connectivity, infrastructure, and lab availability issues.
• Candidates should be able to build and configure lab environments according to specific

technical and training requirements

, ensuring readiness before scheduled training delivery.

• Candidates should be capable of monitoring lab environments, proactively identifying technical issues, and maintaining consistency, reliability, and availability across lab setups.
• Candidates should have experience maintaining

technical documentation, configuration records, procedures, and lab setup information

.

• Experience supporting

IT training environments, technical labs, or multi-technology infrastructure environments

will be an added advantage.

• Candidates should be comfortable using or learning

automation tools

for infrastructure provisioning, configuration, monitoring, and lab management.

• Familiarity with

AI-based tools for automation, troubleshooting, documentation, and operational efficiency

will be preferred.

• Candidates should demonstrate strong ownership, attention to detail, and the ability to collaborate effectively with technical, training, and internal support teams.
• Candidates should be flexible and capable of adapting to

new technologies, OEM platforms, and changing lab configurations

based on training requirements.