Senior Python Developer

Responsibilities:

• Design, develop, and maintain efficient and scalable microservices using Python as the primary programming language.
• Implement various microservices communication patterns, ensuring optimal performance and reliability in a distributed system environment.
• Collaborate with cross-functional teams to understand software requirements, architecture, and design specifications.
• Write clean, modular, and maintainable code that adheres to industry best practices and coding standards.
• Participate in code reviews, providing constructive feedback and continuous improvement suggestions to team members.
• Contribute to the creation and maintenance of documentation for code, APIs, and architectural decisions.
• Stay updated with the latest trends, tools, and technologies in backend development, microservices, and related fields.
• Utilize containerization technologies (e.g., Docker) to package and deploy microservices.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• 5+ Years of experience developing  in Python programming and backend microservices development.
• In-depth knowledge of various microservices communication patterns and their practical application.
• Experience working with Protocol Buffers and Swagger for API definition and documentation.
• Proven experience in designing and developing scalable, distributed systems using microservices architecture.
• Solid understanding of software development principles, version control, and code review processes.
• Familiarity with containerization technologies (e.g., Docker) and container orchestration (e.g., Kubernetes).
• Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
• Strong communication and collaboration skills within cross-functional teams.
•  Familiarity with databases (e.g. Redis and/or MongoDB)

Preferred Qualifications:

• AWS certification (e.g., AWS Certified Assoc Developer  – Professional)..
• Experience with Continuous Integration and Continuous Deployment (CI/CD) pipelines.
• Previous experience with generative AI and machine learning technologies.
• Familiarity with ML-related tools and libraries.
• Knowledge of Langchain and its integration into backend services.
• Hands-on experience with GRPC for inter-service communication.
• Familiarity with Golang Language