
Full-Stack DevOps Engineering Intern
3 days ago
Role & responsibilities
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.
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
- 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.
Preferred candidate profile
- 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, ).
- 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.
NOTE - This is internship cum placement program so if you looking only for internship for academic purpose then please do not apply.
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