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.
All potential candidates should read through the following details of this job with care before making an application.
This position requires collaboration with cross-functional teams, including product management, to help shape and define features and solutions. Applicants must demonstrate the ability to evaluate and propose technical alternatives while clearly articulating the trade-offs. 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)
* Experience using gRPC for internal service communications
* GraphQL for interaction with frontend services
* FastAPI or Starlette for 3rd party integrations
* 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
* Effective collaboration with product teams is essential
* Ability to propose and reason through alternative design solutions
Environment
* 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