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 StackBackend: Python 3.1x , FlaskDatabases: PostgreSQL (Aurora RDS AWS), DynamoDBInfrastructure: AWS, Kubernetes, S3, SQSTesting: Pytest, MyPyCI/CD: Jenkins , TerraformDeployment: Daily releases via feature flagsResponsibilitiesDesign, develop, and maintain scalable finance-focused backend solutions using PythonIntegrate external systems and third-party APIsWork closely with Product Managers and Tech Leads to define, size, and solve real-world telecom customer problemsLead and mentor the engineering teamWrite high-quality, well-tested code ensuring reliable daily deployments to productionParticipate in peer reviews, refinements, and continuous feedback loops across a multi-disciplinary teamMaintain a developer-first quality culture: own unit, integration, and functional testingBe part of a weekly engineering goal-setting processRequirementsMust have:Strong Python engineering skills, experience in building large-scale applicationsExperience working with AWS servicesGood understanding of integration patterns, API development (REST / GraphQL), and third-party system interoperabilitySolid experience in building automated tests: unit, integration, and E2E testsPassion for clean code, peer reviews, and high code quality standardsFamiliarity with scaling large systems — vertical scaling, single-tenant deploymentsSelf-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