DevOps Intern

You should have a Bachelor's degree in Computer Science, Information Technology, or a related field. A strong understanding of operating systems, networking basics, and Linux command-line usage is essential. Proficiency in at least one scripting language such as Python or Bash is required. Basic knowledge of cloud computing concepts, with a preference for AWS, is expected. Familiarity with DevOps principles like CI/CD, automation, and cloud infrastructure management is a plus. Awareness of version control systems like Git is necessary. It would be beneficial to have exposure to cloud platforms, preferably AWS, and infrastructure services such as EC2, S3, RDS, and Kubernetes. Understanding of Infrastructure as Code concepts and knowledge of Terraform would be advantageous. Basic knowledge of CI/CD tools like GitLab or AzureDevOps is a plus. Awareness of monitoring concepts and observability tools like New Relic and Grafana is beneficial. Basic knowledge about containerization, automation, or data/ML infra tools such as Docker, Ray, Dagster, Weights & Biases is an advantage. Exposure to scripting tasks for automation and ops workflows using Python is desired. Joining Sanas will allow you to gain real-world experience in managing cloud infrastructure, including AWS and Azure, as well as COLO datacenter. You will work on infrastructure automation using Terraform and Python, CI/CD pipeline development and management with GitLab and Spinnaker, and observability and monitoring with tools like New Relic, Grafana, and custom alerting mechanisms. You will also have the opportunity to work with cutting-edge tools in ML/AI infrastructure like Ray, Dagster, W&B, and data analytics tools such as ClickHouse and Aurora PostgreSQL. Additionally, you will learn about agile delivery models and collaborate with Engineering, Science, InfoSec, and ML teams. We offer 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, and an opportunity to contribute to automation, reliability, and security for systems. You will participate in occasional on-call rotations to maintain system availability in a collaborative and fast-paced learning environment where your work directly supports engineering and innovation.,