Python Developer

Senior Backend Engineer

London, UK

Radley James is working with a fast-growing AI technology firm transforming how enterprise organisations automate complex workflows and leverage AI at scale. Backed by leading investors and experiencing significant growth, the business is building enterprise-grade AI infrastructure used by major global financial institutions and professional services firms.

This is an opportunity to join a high-performing engineering team working at the intersection of AI, data engineering and distributed systems. The successful candidate will play a key role in designing and scaling the backend infrastructure that powers a rapidly growing platform, while helping shape technical direction and engineering best practices.

Responsibilities

• Design, develop and maintain scalable backend services and APIs powering the firm's AI platform
• Build and optimise data pipelines capable of processing large-scale datasets with high reliability and performance
• Collaborate with machine learning engineers to productionise AI and machine learning models
• Design scalable distributed systems supporting high-throughput, low-latency workloads
• Implement security, compliance and data protection controls across backend systems
• Optimise database performance, indexing strategies and query execution
• Lead technical design discussions and mentor junior engineers
• Monitor production environments, troubleshoot issues and improve platform reliability
• Contribute to engineering standards, documentation and software development best practices

Requirements

• 7+ years of backend software engineering experience building and scaling production systems
• Strong Python development experience with modern backend frameworks such as FastAPI, Flask or Django
• Deep understanding of PostgreSQL, database optimisation and performance tuning
• Experience scaling distributed systems and data-intensive applications
• Strong knowledge of Redis, caching strategies and in-memory data stores
• Experience with asynchronous processing frameworks such as Celery or similar task queues
• Experience working with event-driven architectures and messaging technologies such as Kafka, RabbitMQ or Azure Service Bus
• Strong understanding of REST APIs, microservices architecture and distributed systems design
• Cloud experience across Azure, AWS or GCP
• Experience with Docker, Kubernetes and containerised deployments
• Familiarity with CI/CD pipelines, automated testing and Git-based development workflows
• Excellent problem-solving and communication skills

Technology Stack

• Python
• FastAPI / Flask / Django
• PostgreSQL
• Redis
• Celery
• Kafka / RabbitMQ / Azure Service Bus
• Docker
• Kubernetes
• Azure / AWS / GCP
• REST APIs
• Microservices Architecture
• CI/CD

What's on Offer

• Opportunity to work on cutting-edge AI infrastructure and enterprise-scale systems
• Highly collaborative engineering environment
• Direct exposure to AI, machine learning and large-scale data processing challenges
• Significant ownership and influence over technical architecture
• Fast-growing business with strong product-market fit and substantial growth trajectory