Job Description:

About the Role
Kaleris is a private equity-backed software firm focused on supply chain optimization, headquartered in Atlanta, Georgia. We are a global leader in the supply chain execution market, focused on accelerating the transformation of digital supply chain for industrial and finished goods shippers and carriers by combining best-in-class solutions for challenges tied to yard management, shipment visibility, and asset management, across rail, truck, and multi-mode transportation.

We’re hiring super bright engineers to join our Chennai team as we transform how the things we eat, wear, and play with are transported worldwide. In this position, you will have an opportunity to make major contributions to our next generation transportation and logistics software for the marine industry. You will work together with colleagues to define system requirements and build state-of-the-art software and will collaborate with the existing QA Team to assist the larger community of Developers, Quality Engineers, and Product Managers in delivering high quality,



cutting-edge applications.

You must be a quick learner, have excellent communication skills and be able to maintain ownership of large engineering projects through their lifecycle: architecture/design, implementation, testing, maintenance, and support. This position has unique opportunities for growth in both the functional and technical direction.

Responsibilities
- Assist with day-to-day cloud environment operations and monitoring under supervision.
- Support patch management activities for Windows, Linux (CentOS, Ubuntu), and related systems.
- Assist with basic VMware environment tasks (e.g., VM health checks, snapshot management, routine maintenance).
- Support installation and basic upkeep of endpoint security tools such as EDR (Endpoint Detection & Response) solutions.
- Assist in building and maintaining basic automation scripts (e.g., PowerShell, Bash, Python) for routine operational tasks.
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📌 CloudOps Intern (Chennai)
🏢 Kaleris
📍 Chennai