DevOps Intern ( 6 months)

Bangalore

Engineering – ML Ops /

Intern /

On-site

Bachelor’s degree in Computer Science, Information Technology or a related field
Strong understanding of OS, networking basics & Linux command-line usage
Proficiency in at least one scripting language such as Python or Bash
Basic knowledge of cloud computing concepts (AWS preferred)
Familiarity with DevOps principles like CI/CD, automation & cloud infrastructure management is a plus
Awareness of version control systems like Git

Exposure to cloud platforms (preferably AWS) and infrastructure services (e.g., EC2, S3, RDS, Kubernetes)
Understanding of Infrastructure as Code concepts; Knowledge on Terraform is a plus
Basic knowledge of CI/CD tools like GitLab or AzureDevOps
Awareness of monitoring concepts and observability tools (e.g., New Relic, Grafana)
Basic knowledge about containerization, automation or data/ML infra tools (e.g., Docker, Ray, Dagster, Weights & Biases) is an advantage
Exposure to scripting tasks for automation and ops workflows using Python

Real-world experience managing cloud infrastructure (AWS, Azure) & COLO datacenter
Infrastructure automation using Terraform and Python
CI/CD pipeline development and management with GitLab and Spinnaker
Observability and monitoring with New Relic, Grafana and custom alerting mechanisms
Working with cutting-edge tooling in ML/AI infra (Ray, Dagster, W&B) and data analytics (ClickHouse, Aurora PostgreSQL)
Agile delivery models & collaboration with Engineering, Science, InfoSec and ML teams

Hands-on experience with modern DevOps practices and enterprise cloud architecture
Mentorship from experienced DevOps engineers
Exposure to a scalable infrastructure supporting production-grade AI and ML workloads
Opportunity to contribute to automation, reliability and security for systems
Participate in occasional on-call rotation to maintain system availability
A collaborative & fast-paced learning environment where your work directly supports engineering and innovation