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Godel Technologies is looking for Python Engineer to join a large-scale, innovative utility service platform transforming the global energy industry. The client’s platform connects millions of customers with energy and telecom providers across the electricity, water, and telecommunications sectors. The company is actively integrating AI-driven solutions into its ecosystem - enhancing customer experiences through intelligent notifications, predictive billing forecasts, and voice assistants. With a global engineering team of over 2,000 professionals (primarily based in the UK) and more than 60 million customers across the UK, EU, Japan, and the US, this is a truly impactful and technologically advanced environment where your expertise in Python can make a real difference.
Job Responsibility:
Design, develop, and maintain scalable finance-focused backend solutions using Python and Django
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
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 (lean Kanban-style working)
Requirements:
Strong Python engineering skills, ideally with production Django experience on complex, large-scale applications (not just small web apps)
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)
Experience working with or around AWS services (e.g., RDS, S3, Kubernetes, SQS, RabbitMQ)
Strong verbal and written English communication skills
Readiness to work with Windows (WSL)
Nice to have:
Frontend experience (React)
Code generation tools, AI assistants – Copilot, Cursor, Claude Code, etc.