Intern - Backend Development

4 days ago


India Quartic Full time
Opportunity - Internship - Backend Development Duration - 6 months

Location - remote (anywhere from India)

We are an Industrial-AI start-up accelerating the adoption of Industry 4.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.

Positive Work Culture: Learning & Mentorship: Interns work alongside experienced engineers, gaining exposure to real-world backend development.

Flexibility: Work-life balance with flexible hours and remote work options.

Growth Opportunities: Chance to learn cutting-edge backend technologies powering Industry 4.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.

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).

Note: Outstanding interns in their final year of study may be considered for a full-time Backend role (based on performance and availability of open positions at the end of the internship).

Good-to-Have (Bonus Points):

Exposure to frameworks like Django/Flask .

Experience with APIs (REST/GraphQL).

Familiarity with Linux/Unix commands.

Writing production-grade backend code in Python.

Best practices in database management, testing, and code reviews.

Exposure to cloud-native tools like Docker and CI/CD workflows.

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