Backend Engineer

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 the ability to work in a collaborative team environment.
• Eagerness to learn new technologies and tackle complex problems.