Backend Engineer - Java/Python/Node.js (1-3 yrs)

The core responsibilities for the job include the following :

Backend Development :

- Design, develop, and maintain scalable backend systems and APIs using modern technologies and best practices.

- Work closely with front-end developers to integrate user-facing elements with server-side logic.

- Optimize performance, scalability, and reliability of the backend architecture.

- Develop and maintain RESTful services and microservices.

Machine Learning Integration (if applicable) :

- Collaborate with data scientists to integrate machine learning models into backend systems.

- Work with large datasets, optimizing data processing pipelines for machine learning tasks.

- Implement algorithms and services for predictive models and AI-driven features.

Database Management :

- Work with SQL and NoSQL databases (e. g., MySQL, PostgreSQL, MongoDB) to design efficient database schemas and write complex queries.

- Ensure data integrity, consistency, and security within backend systems.

Testing and Debugging :

- Write unit and integration tests to ensure high-quality code and system reliability.

- Identify and fix performance bottlenecks or bugs, optimizing both backend code and database interactions.

Collaboration :

- Work in an agile environment, participating in sprint planning, stand-ups, and code reviews.

- Collaborate with cross-functional teams, including front-end developers, data scientists, and product managers, to define product features and system architecture.

Requirements :

- 1+ years of professional experience as a Backend Developer or similar role.

- Experience in web development, including building APIs and microservices.

- Exposure to machine learning concepts and integration into production systems is a plus.

Technical Skills :

- Proficient in at least one backend language (Python, Java, Node.js, etc. ).

- Familiarity with web frameworks (e. g., Django, Flask, Spring Boot, Express.js ).

- Knowledge of RESTful APIs, microservices architecture, and cloud computing platforms (AWS, Google Cloud, Azure).

- Experience with version control (Git).

Database :

- Experience with relational and non-relational databases.

- Proficiency in SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis, etc. )

Machine Learning (Preferred) :

- Understanding of machine learning frameworks and libraries (TensorFlow, PyTorch, Scikit-learn, etc. ).

- Familiarity with cloud-based machine learning tools and platforms.

Other Skills :

- Good communication skills and ability to work in a collaborative team environment.

- Eagerness to learn new technologies and tackle complex problems.