We are seeking a Python Engineer to join an innovative InsurTech team based in London, working on a hybrid model with one day per week in the office. Offering a salary between £65,000 and £85,000, this opportunity is ideal for a software engineer with a scientific and experimental mindset who is keen to work on ground-breaking insurance products. The role involves building scalable, high-performance systems and taking ownership of complex architectural challenges, helping redefine customer experiences in the insurance sector through modern technology and AI integration.
This position requires collaboration with cross-functional teams, including product management, to help shape and define features and solutions. We are not just looking for developers who implement instructions, but engineers who think critically, challenge the status quo, and offer creative solutions that benefit the end-user and the business.
The team works in a fast-paced environment on a rotating range of projects. Current initiatives include building new financial systems, integrating Amazon driver insurance processes, and leveraging telematics and machine learning to analyse driver behaviour. The company has a strong AI adoption culture, with support from leadership to explore AI solutions practically — a recent example includes the creation of an AI chatbot to support the customer service team’s knowledge base.
Tech Requirements
Strong proficiency in Python, particularly within hybrid application architectures (monolith + microservices)
GraphQL for interaction with frontend services
Working knowledge of both Postgres and DynamoDB databases
Experience deploying systems in AWS using managed Kubernetes services
Proven track record of working as a software engineer, not just a developer
Must have experience beyond using the Django framework
Fast-paced workload with frequent project rotations
Opportunities to work on financial platforms, insurance integrations, and telematics systems
Strong focus on AI with tangible real-world implementation
Supportive leadership encouraging AI-driven experimentation
Hybrid working model with one on-site day per week in a central London office