DevOps/MLOps Intern

Profile

The DevOps / MLOps Intern will support the development of scalable infrastructure, deployment pipelines, and cloud-native environments powering TensorGo’s 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.

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).

Good 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.

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.

Join the awesome squad. Apply now!