Full-Stack DevOps Engineering Intern

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

  Go

  .

• 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

  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.

NOTE - This is internship cum placement program so if you looking only for internship for academic purpose then please do not apply.