[Hiring] Python Intern – DevOps Automation @DevOpsEnabler

Role Description

DevOps Enabler & Co. is looking for enthusiastic Python Interns from a Computer Science background who are interested in building real-world DevOps automation tools and solutions. During this 3-month internship, interns will work alongside our technical team and gain hands-on exposure to:

• Python development
• APIs
• Automation
• DevOps practices
• Cloud technologies
• Modern software development workflows

Qualifications

• B.E./B.Tech – Computer Science / Computer Science & Engineering
• B.Sc. – Computer Science
• BCA – Bachelor of Computer Applications
• M.Sc. – Computer Science
• MCA – Master of Computer Applications
• Other equivalent Computer Science-related qualifications
• Freshers and students pursuing their final year are welcome to apply.

Requirements

• Basic to good knowledge of Python programming
• Understanding of programming fundamentals, OOP and data structures
• Basic knowledge of REST APIs and JSON
• Familiarity with Git/GitHub
• Basic understanding of Linux commands
• Good analytical and problem-solving skills
• Willingness to learn DevOps tools and technologies
• Knowledge of the following would be an added advantage:
• Docker
• Kubernetes
• GitLab/GitHub
• CI/CD
• Linux
• Cloud platforms such as AWS, Azure or Google Cloud
• FastAPI, Flask or Django
• SQL/databases
• Shell scripting
• All applicants are required to have a registered Agent Handler profile on AiOpsEnabler.com
• Prior professional experience is not required

Benefits

What You Will Learn:

• Python
• APIs
• Git
• Linux
• Automation
• CI/CD
• Containers
• DevOps

Interns will have the opportunity to work on practical automation use cases rather than only theoretical assignments.

Internship Outcome

• Successful interns will receive an Internship Completion Certificate from DevOps Enabler & Co.
• High-performing candidates may also be considered for future employment opportunities with DevOps Enabler, subject to performance, business requirements and availability of suitable positions.