Backend Engineer

You will work closely with machine learning, product, and infrastructure teams to productionise AI workflows, ensure system reliability, and support enterprise-grade security and compliance requirements. This is a hands-on senior role with influence over technical direction and system architecture., * Design, develop, and maintain scalable backend services and APIs

• Build and optimise data pipelines for large, structured financial datasets
• Ensure systems meet security and regulatory standards (SOC 2, GDPR, FCA)
• Collaborate with ML engineers to deploy and integrate machine learning models
• Optimise PostgreSQL schemas and queries for performance and scale
• Implement caching, messaging, and asynchronous processing patterns
• Participate in technical design reviews and support less experienced engineers
• Monitor production systems, troubleshoot issues, and improve reliability
• Contribute to coding standards, documentation, and engineering best practices

• 7+ years of backend engineering experience in production environments
• Strong Python expertise and experience with modern frameworks (FastAPI, Flask, Django)
• Advanced PostgreSQL knowledge, including performance tuning and scaling
• Experience with Redis and caching strategies
• Background in asynchronous task processing (Celery or similar)
• Experience with message brokers and event-driven systems (Kafka, RabbitMQ, Azure Service Bus, etc.)
• Solid understanding of REST APIs and microservices architectures
• Cloud experience (Azure preferred; AWS or GCP acceptable)
• Experience with Docker and Kubernetes
• Strong understanding of security best practices and data protection
• Familiarity with CI/CD pipelines, automated testing, and Git
• Strong communication skills and experience working cross-functionally

• Competitive salary plus equity
• Opportunity to work on complex, high-impact systems in a regulated environment
• High level of technical ownership and influence
• Fast-growing engineering team with clear progression opportunities

Our client is a rapidly scaling enterprise AI platform operating in the financial services sector. The business builds workflow automation and AI-driven systems used by large, regulated financial institutions to streamline complex, data-intensive processes. Backed by top-tier investors, the company is in a high-growth phase and expanding its engineering team to support increasing enterprise adoption.