Intern - Backend Development

0 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

Opportunity

Duration

Stipend

Location


About us

We are an Industrial-AI start-up accelerating the adoption of Industry 4.0. Our Smart Industry platform empowers manufacturers to transform legacy infrastructure into Smart Manufacturing Factories. With AI and IIoT applications, we enable process optimization, predictive maintenance, and energy efficiency for Fortune 100 and 500 companies across industries like pharmaceuticals, mining, and consumer products.


The Q-Culture


Positive Work Culture:

Learning & Mentorship:

Flexibility:

Growth Opportunities:


Job Responsibilities


As a Backend Intern, you will:


  • Assist in building and maintaining APIs and backend services.
  • Write clean, efficient Python code under guidance.
  • Work with databases (e.g., PostgreSQL, MySQL) to store and retrieve data.
  • Debug and fix issues in existing backend components.
  • Collaborate with senior developers in code reviews and testing.
  • Learn best practices for scalable and secure backend systems.
  • Participate in agile ceremonies and team discussions to understand development workflows.


Qualifications & Requirements


Must-Have:


  • Currently pursuing a

    Bachelor’s/Master’s degree

    in Computer Science, Engineering, or related fields.
  • Strong programming skills in

    Python

    .
  • Good understanding of

    data structures, algorithms, and operating systems

    .
  • Familiarity with

    databases

    (SQL basics).
  • Strong problem-solving skills and eagerness to learn.


Note:


Good-to-Have (Bonus Points):


  • Exposure to frameworks like

    Django/Flask

    .
  • Experience with

    APIs

    (REST/GraphQL).
  • Familiarity with Linux/Unix commands.
  • Interest in distributed systems, caching, or messaging systems (Kafka, Redis, RabbitMQ).


What You’ll Learn Here:


  • Writing production-grade backend code in Python.
  • Designing and working with APIs at scale.
  • Best practices in database management, testing, and code reviews.
  • Exposure to cloud-native tools like Docker and CI/CD workflows.

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