Senior Full-Stack Python Engineer

Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple business units. The platform focuses on large-scale data processing, workflow automation, integration with internal systems, and delivering modern digital capabilities for the wider banking group.

• 6+ years of professional software engineering experience, with significant work in both backend and full-stack roles.
• Strong proficiency in Python (FastAPI, Flask, Django, or similar).
• Solid experience with TypeScript and modern front-end frameworks (React, Next.js, or similar).
• Hands-on experience designing and implementing microservices, APIs, and backend systems.
• Strong understanding of databases: relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Firestore).
• Experience with any cloud providers (AWS/Azure).
• Familiarity with CI/CD pipelines, Docker, Git, and modern DevOps practices.
• Strong understanding of software engineering principles: scalability, reliability, performance, and security.
• Experience working in agile, cross-functional teams on complex products.
• Excellent communication skills and ability to work with both technical and non-technical stakeholders.

Nice to have:

• Experience working with AI/ML or GenAI-driven systems.
• Experience with Google Cloud Platform.
• Familiarity with Vertex AI, Gemini, or integration with LLM-powered services.
• Experience with WebSockets, event-driven architectures, or Pub/Sub.
• Knowledge of authentication/authorization standards (OAuth2, JWT, IAM).
• Experience with document processing, OCR, or workflow automation.

• Design, develop, and maintain backend services using Python (FastAPI, Flask, Django, or similar frameworks).
• Build front-end components and UIs using TypeScript (React, Next.js, or similar frameworks).
• Develop and integrate REST APIs and microservices, ensuring strong performance, reliability, and observability.
• Collaborate closely with GenAI engineers to integrate AI-driven features and document-processing flows.
• Implement data processing pipelines for structured and unstructured data.
• Work with Google Cloud Platform services such as Cloud Run, Cloud Functions, Pub/Sub, and Cloud Storage.
• Contribute to the platform’s architecture, design patterns, and technical decision-making.
• Write automated tests and ensure a high level of code quality, maintainability, and security.
• Partner with product managers, designers, and QA engineers to deliver high-quality solutions on time.
• Document code, service interfaces, workflows, and architectural decisions.