Senior full-stack engineer responsible for designing, building, and deploying Python backend services and TypeScript front-end components. Develop scalable microservices, REST APIs, data pipelines, and UIs; integrate AI-driven document processing; ensure performance, reliability, security, and observability; write automated tests and collaborate with product, GenAI, and platform teams to deliver production-ready systems in cloud environments.
Client Overview
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.
Position Overview
We are looking for a Senior Full-Stack Engineer to join a cross-functional engineering team building core components of the AI-driven document processing platform. This position requires strong backend engineering experience with Python as well as solid front-end or full-stack proficiency with TypeScript (preferably React, Next.js, or similar frameworks).
You will work on delivering scalable APIs, microservices, data workflows, and UI components that power document automation features, internal tools, and operational dashboards. The role involves close collaboration with product, architecture, GenAI, and platform engineering teams.
This role is ideal for someone who is hands-on, highly technical, and comfortable designing, developing, and deploying production-grade systems in cloud environments (preferably Google Cloud).
Key Responsibilities
- 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.
Requirements
- 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.
We offer*:
- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
*not applicable for freelancers
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