Full-Stack DevOps Engineering Intern

About the role As a Full-Stack DevOps Engineering Intern, you will be a key player in the entire software development lifecycle, from writing clean code for both the front-end and back-end to building and maintaining automated deployment pipelines. This role is ideal for an aspiring engineer who wants to gain hands-on experience with cutting-edge technologies, including cloud infrastructure and the integration of AI/ML models. NOTE - This is internship cum placement program so if you looking only for internship for academic purpose then please do not apply. Key responsibilities Full-Stack Development: Develop and maintain scalable back-end services using Python or NodeJS or Go and front-end using React, Angular or Vue.js. AI/ML Integration: Assist in integrating and deploying AI/ML models into core application features. DevOps & Automation: Contribute to the development and maintenance of CI/CD pipelines using tools like GitHub Actions or Jenkins. Contribute to the management of infrastructure as code using tools like Terraform or Ansible. Cloud Infrastructure: Work with public cloud platforms (GCP or AWS) to deploy and manage applications and resources. Version Control: Utilize Git for collaborative development and version management. Collaboration: Work closely with a team of experienced engineers to design, build, and deploy new features. Troubleshooting: Debug and resolve technical issues across the application stack and infrastructure. Requirements Currently pursuing a Bachelor's degree in Computer Science, Information Technology Engineering, or a similar field. Solid foundation in data structures, algorithms, software development lifecycle (SDLC), object-oriented programming, and modern agile methodologies. Experience with Git for version control. Familiarity with at least one back-end language, with a strong preference for Python, NodeJS or Go. Basic understanding of front-end development concepts and frameworks (e.g., React, Angular, Vue.js). Knowledge of cloud computing concepts and a basic understanding of GCP or AWS. An understanding of containerization technologies like Docker. A strong passion for AI/ML, DevOps, and automation. Excellent problem-solving skills and a proactive, eager-to-learn attitude. Good communication and collaboration skills.