Godel Technologies is looking for Python Engineer to join the project for the global payment gateway provider operating across multiple domains and serving clients around the world. Their platform powers secure, fast, and reliable payment processing for businesses of all sizes. Godel Technologies is engaged in several strategic workstreams with the client. One of the key initiatives focuses on modernizing a core product that has been evolving for more than a decade. As part of this improvement stream, the team is driving the transformation of a large monolithic system into a scalable, maintainable microservices architecture. This is a great opportunity to contribute to high-impact architectural evolution, work with modern engineering practices, and influence the future of a globally used payment platform.Tech Stack Backend: Python 3.1x , Flask Databases: PostgreSQL (Aurora RDS AWS), DynamoDB Infrastructure: AWS, Kubernetes, S3, SQS Testing: Pytest, MyPy CI/CD: Jenkins , Terraform Deployment: Daily releases via feature flags Responsibilities Design, develop, and maintain scalable finance-focused backend solutions using Python Integrate external systems and third-party APIs Work closely with Product Managers and Tech Leads to define, size, and solve real-world telecom customer problems Lead and mentor the engineering team Write high-quality, well-tested code ensuring reliable daily deployments to production Participate in peer reviews, refinements, and continuous feedback loops across a multi-disciplinary team Maintain a developer-first quality culture: own unit, integration, and functional testing Be part of a weekly engineering goal-setting process RequirementsMust have: Strong Python engineering skills, experience in building large-scale applications Experience working with AWS services Good understanding of integration patterns, API development (REST / GraphQL), and third-party system interoperability Solid experience in building automated tests: unit, integration, and E2E tests Passion for clean code, peer reviews, and high code quality standards Familiarity with scaling large systems — vertical scaling, single-tenant deployments Self-driven, comfortable with autonomy and open team cultures (trust > process) Readiness to work with Windows (WSL) Nice to have: Code generation tools, AI assistants – Amazon Q, Copilot, Cursor, Claude Code, etc. Experience working in the financial services domain would be beneficial