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Backend Developer
Backend Developer
Draup's logo

Backend Developer

suchanya p's profile picture
Posted by suchanya p
1 - 4 yrs
₹10L - ₹25L / yr
Bengaluru (Bangalore)
Skills
skill iconPython
skill iconJava
SQL

We are looking for:

• 2+ years of expertise in software development with one or more of the general programming languages (e.g., Python, Java, C/C++, Go). Experience in Python and Django is recommended.

• Deep understanding of how to build an application with optimized RESTful APIs.

• Knowledge of a web framework like Django or similar with ORM or multi-tier, multi-DB-based data-heavy web application development will help your profile stand out.

• Knowledge of Gen AI tools and technologies is a plus.

• Sound knowledge of SQL queries & DB like PostgreSQL(must) or MySQL. Working knowledge of NoSQL DBs (Elasticsearch, Mongo, Redis, etc.) is a plus.

• Knowledge of graph DB like Neo4j or AWS Neptune adds extra credits to your profile.

• Knowing queue-based messaging frameworks like Celery, RQ, Kafka, etc., and distributed system understanding will be advantageous.

• Understands a programming language's limitations to exploit the language behavior to the fullest potential.

• Understanding of accessibility and security compliances

• Ability to communicate complex technical concepts to both technical and non- technical audiences with ease

• Diversity in skills like version control tools, CI/CD, cloud basics, good debugging skills, and test-driven development will help your profile stand out. 

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Draup

Founded :
2017
Type :
Services
Size
Stage :
Profitable

About

Draup is an enterprise decision-making platform for global CXO leaders in sales and talent domains. Draup combines machine learning with human curation to help organizations make data-driven strategic decisions. The platform is powered by machine-generated models, which are augmented by a team of analysts adding their learning-based insights to provide a 360-degree transactable view of their sales and talent ecosystem.
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