At a Glance
- Tasks: Join our InsurTech team to build innovative insurance products using Python and AI.
- Company: We're a cutting-edge InsurTech firm in London, redefining customer experiences.
- Benefits: Enjoy a hybrid work model, competitive salary, and supportive leadership for AI exploration.
- Why this job: Be part of a fast-paced environment, tackling complex challenges and making a real impact.
- Qualifications: Strong Python skills, experience with gRPC, GraphQL, and AWS required.
- Other info: Work on exciting projects like financial systems and driver behaviour analysis.
The predicted salary is between 65000 - 85000 Β£ per year.
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 Β£65,000 and Β£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. 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 β a recent example includes the creation of an AI chatbot to support the customer service teamβs 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
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
Python Developer (City of London) employer: Gravitas Recruitment Group (Global) Ltd
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Python Developer (City of London)
β¨Tip Number 1
Familiarise yourself with the latest trends in InsurTech and AI integration. Understanding how these technologies are reshaping the insurance sector will help you engage in meaningful conversations during interviews and demonstrate your enthusiasm for the role.
β¨Tip Number 2
Showcase your problem-solving skills by preparing examples of past projects where you faced complex architectural challenges. Be ready to discuss how you evaluated different technical alternatives and the reasoning behind your decisions.
β¨Tip Number 3
Network with professionals in the InsurTech space, especially those who work with Python and AI. Engaging with industry events or online forums can provide insights into the company culture and current projects, which you can reference in your discussions.
β¨Tip Number 4
Prepare to discuss your experience with hybrid application architectures and the specific technologies mentioned in the job description, such as gRPC, GraphQL, and AWS. Being able to articulate your hands-on experience with these tools will set you apart from other candidates.
We think you need these skills to ace Python Developer (City of London)
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your strong proficiency in Python and relevant experience with hybrid application architectures. Emphasise any projects where you've used gRPC, GraphQL, or FastAPI, as well as your familiarity with AWS and Kubernetes.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the InsurTech sector and how your scientific mindset aligns with the company's innovative approach. Discuss specific examples of how you've tackled complex architectural challenges and contributed to cross-functional teams.
Showcase Problem-Solving Skills: During the application process, be prepared to discuss your ability to evaluate technical alternatives and articulate trade-offs. Provide examples of past experiences where you challenged the status quo and proposed creative solutions that benefited users and the business.
Highlight AI Experience: Given the company's strong focus on AI, mention any relevant experience you have with AI-driven projects. If you've worked on implementing AI solutions or have insights into machine learning applications, make sure to include these in your application.
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
β¨Showcase Your Python Proficiency
Make sure to highlight your strong proficiency in Python during the interview. Be prepared to discuss specific projects where you've used Python, especially in hybrid application architectures, and demonstrate your understanding of gRPC and GraphQL.
β¨Demonstrate Critical Thinking
This role requires engineers who think critically and challenge the status quo. Prepare examples of how you've evaluated technical alternatives in past projects, and be ready to articulate the trade-offs involved in your decisions.
β¨Emphasise Collaboration Skills
Since collaboration with cross-functional teams is essential, share experiences where you've worked closely with product management or other teams. Highlight how you contributed to shaping features and solutions that benefited both the end-user and the business.
β¨Prepare for Fast-Paced Scenarios
Given the fast-paced environment and frequent project rotations, be ready to discuss how you adapt to changing priorities. Share examples of how you've successfully managed multiple projects or adapted to new technologies quickly.