Job Summary

The DevOps / MLOps Intern will support the development of scalable infrastructure, deployment pipelines, and cloud-native environments powering TensorGou2019s products. This is a hands-on opportunity to work closely with the engineering team, gaining practical exposure to CI/CD, containerization, cloud deployment, and production operations. This role will be based in Hyderabad, work from office, for a duration of 6 months as an internship, with a potential PPO based on performance.

Responsibilities

- Convert software packages into Dockerfiles and containerized deployment artifacts.

- Support the implementation and maintenance of CI/CD pipelines and deployment workflows.

- Assist in monitoring, alerting, and infrastructure health tracking.

- Help manage container-based environments and Kubernetes deployments.

- Install and troubleshoot open-source components in Docker and Kubernetes environments.

- Work with the engineering team on infrastructure automation, optimization, and operational improvements.

Requirements

- Basic understanding of Linux systems, operations, and shell scripting.

- Familiarity with Docker,



container networking, and cloud deployment concepts.

- Understanding of CI/CD workflows and application deployment pipelines.

- Knowledge of monitoring tools such as Prometheus, Grafana, Datadog, Nagios, or Zabbix.

- Awareness of cloud platforms such as AWS, GCP, Azure, or OCI.

- Passion for open-source technologies and infrastructure automation.

- Candidate of B.E / B.Tech in Computer Science, Electronics, Electrical, or any equivalent related discipline (pursuing or completed).

Valuable to have

- Prior project work, coursework or internship exposure in DevOps, MLOps or cloud infrastructure.

- Familiarity with Kubernetes, Terraform, Jenkins, GitLab, GitHub Actions, or Argo CD.

- Exposure to open-source tools such as ELK, Kafka, or Cassandra.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 DevOps/MLOps Intern (Hyderabad)
🏢 TensorGo Technologies
📍 Hyderabad