Senior FullStack Engineer

Who you are

• Seven or more years of professional experience in software engineering
• Strong proficiency in Python, including writing well-structured async code, type hints, and unit tests
• Experience building backend services using frameworks such as FastAPI
• Strong SQL skills with experience working with relational databases such as PostgreSQL or MySQL
• Experience designing and maintaining RESTful APIs
• Experience building or maintaining automation and integrations that support financial or operational workflows
• Experience working with message queues or background job systems
• Proficiency with Git and collaborative development workflows
• Experience working with containerised environments such as Docker and CI/CD pipelines
• Basic knowledge of cloud infrastructure, with hands-on experience in at least one of AWS, GCP, or Azure
• Comfortable collaborating directly with business stakeholders to understand requirements and translate them into practical technical solutions
• Comfortable working in fast-paced environments where accuracy, reliability, and clear communication are essential
• Experience maintaining codebases for business-critical systems
• Practical interest in applying AI tools and LLM-based capabilities to real product or operational problems
• Experience integrating third-party AI APIs or building AI-assisted internal tools is a strong plus
• Ability to evaluate where AI adds value, and where conventional software or workflow automation is the better solution
• Knowledge of lending products and lending operations is a major advantage
• Awareness of financial concepts, accounting flows, or reconciliation processes is a plus

What you'll be doing

• Design and develop new Python services and backend features that automate and support core financial operations, such as payments, reconciliations, and reporting
• Participate in the full software development lifecycle, from design and implementation to testing, deployment, and monitoring
• Own part of the platform and be responsible for the smooth operation of associated business processes and their KPIs
• Collaborate closely with Product, Design, and business users to understand, challenge, and refine requirements
• Provide second-line support during business hours, helping to troubleshoot and resolve system issues that impact customers
• Support junior engineers through PR reviews and pairing
• Apply strong SQL skills to troubleshoot and improve the performance of data management and retrieval across our databases
• Identify opportunities to use AI in pragmatic ways, whether to improve internal tooling, automate manual workflows, or enhance product capabilities
• Build and maintain AI-assisted features and integrations in a reliable, observable, and cost-conscious way
• Work with stakeholders to prototype, test, and iterate on AI-enabled workflows, while keeping a strong engineering bar for quality, safety, and maintainability
• Help establish practical patterns for using AI in production, including structured outputs, evaluation, fallback handling, and human review where appropriate