Senior Python Developer

• 5+ years of experience in platform or application development, with a strong focus on Python and AWS services.
• Proven expertise in serverless development using AWS services like Lambda, API Gateway, DynamoDB, and RDS.
• Strong understanding of event-driven systems, cloud computing concepts, and cloud-native architectural patterns.
• Solid experience with Object-Oriented Programming (OOP), SOLID principles, and both relational and NoSQL databases.
• Proficiency in Git, CI/CD practices, and REST API development and integration.
• Excellent analytical and problem-solving skills, especially in optimizing system performance and scalability.
• Effective communicator, able to collaborate with engineers and engage with stakeholders across functions.
• A passion for continuous learning and a proactive approach to applying new technologies and tools.

• Take end-to-end ownership of developing, maintaining, and optimizing specific modules of the cloud management platform.
• Design and implement serverless applications and event-driven architectures on AWS, ensuring high scalability, availability, and performance.
• Collaborate with cross-functional teams, including platform engineers, DevOps, and product stakeholders, to meet project goals and milestones.
• Develop and integrate RESTful APIs and ensure seamless communication across distributed systems.
• Troubleshoot, debug, and resolve complex technical issues in cloud-based environments, providing advanced support to internal teams.
• Apply solid understanding of cloud architecture and Python development to build efficient and reliable platform components.
• Contribute to code reviews, enforce engineering best practices, and maintain high standards for code quality and documentation.
• Stay updated on the latest cloud trends, tools, and practices, incorporating them into platform improvements.

AWS Certifications (e.g., AWS Certified Developer or Solutions Architect).

Experience with Boto3 SDK for AWS service integration in Python.

Exposure to Docker, Kubernetes, or other container/orchestration tools.

Familiarity with Azure or Google Cloud Platform (GCP).