Linux Infrastructure

About the Role

About the internship: As a Linux infrastructure intern at Vyorius Drones Private Limited, you will have the opportunity to work with cutting-edge technology in the drone industry. You will be part of a dynamic team that is revolutionizing the way drones are used for various applications. Selected intern's day-to-day responsibilities include: 1.

Assist in managing and maintaining Linux servers and infrastructure. 2. Troubleshoot and resolve issues related to Linux systems and networks. 3. Write scripts in Bash and Python to automate routine tasks and improve efficiency. 4. Collaborate with the team to design and implement new infrastructure solutions. 5.

Monitor and optimize system performance to ensure maximum uptime and reliability. 6. Assist in managing security protocols and ensuring system integrity. 7. Participate in ongoing training and development to enhance your skills in Linux administration and infrastructure management.

If you are passionate about Linux, eager to learn, and ready to take on new challenges, this internship is perfect for you. Join us at Vyorius Drones and be a part of our exciting journey towards innovation and excellence in the drone industry.

Who can apply: Only those candidates can apply who: are available for the work from home job/internship can start the work from home job/internship between 9th Jun'26 and 14th Jul'26 are available for duration of 2 months have relevant skills and interests are Computer Science Engineering students Stipend: INR₹ 3,000 - 5,000 /month Deadline: 2026-07-09 23: 59: 59 Other perks: Certificate, Letter of recommendation, Flexible work hours Skills required: Python, Linux, Linux Administration and Bash

About the Company

Vyorius is a SaaS platform for mobile unmanned robots, providing direct plug-and-play while bringing all of the command, control, supervision, management, asset tracking, and maintenance tools in one place. Our AI algorithms utilize the data we gather for predictive maintenance, finding efficient vehicles in the fleet, and operational analytics to optimize resources.