1 day ago

Job Responsibilities

• Develop and maintain back-end services using Python and frameworks such as Django, Flask, or FastAPI.
• Design and manage databases, including both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Redis).
• Work with AWS and containerization technologies (Docker, Kubernetes).
• Design and implement event-driven architectures and work with message queues.
• Contribute to microservices architecture and distributed systems development.
• Design, develop, and maintain scalable software solutions with clean, testable, and maintainable code.
• Write comprehensive unit tests to verify functionality and ensure the reliability of new features
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Collaborate with the quality assurance team to establish and maintain code quality metrics, including code coverage.
• Refactor and enhance existing codebases to improve performance, readability, and maintainability while ensuring high code coverage.
• Ensure the high performance and security of the applications and systems.
• Mentor junior engineers and provide technical guidance.
• Stay up-to-date with the latest industry trends and technologies.
• Troubleshoot and resolve complex technical issues

Job Requirements

• Strong foundation in Object-Oriented Programming (OOP) and/or Functional Programming (FP).
• Expertise in Python frameworks like Django, Flask, or FastAPI.
• Strong experience with SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis).
• Familiarity with cloud platforms (AWS) and containerization (Docker, Kubernetes).
• Experience in event-driven architectures and message queues.
  Knowledge of microservices architecture and distributed systems.
• Solid understanding of design patterns and programming language fundamentals & advanced concepts.
• Adherence to programming principles like SOLID and DRY.
• Experience writing clean, testable, scalable, and maintainable code.
• Experience working with high-performance systems microservices architecture, and security best practices is a plus.
• Strong communication skills for collaborating with cross-functional teams, understanding user requirements, and conveying technical concepts to non-technical stakeholders.
• Passion for technology and continuous learning.
• High sense of responsibility and ownership over your work.

Preferred Skills: (Nice to have)

• Experience with AI technologies, including machine learning frameworks (e.g., TensorFlow, PyTorch) and natural language processing (NLP).
• Familiarity with AI prompting techniques, conversational agents, or chatbots.
• Knowledge of AI model deployment and integration into existing software systems.
• Experience with Continuous Integration/Continuous Deployment (CI/CD) pipelines.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.