Senior/Leading Software Engineer (f/m/d/x)

Job description

YOUR ROLE We are building a cloud-native insurance platform designed for a future where humans and AI collaborate to create, configure, and operate insurance products. Insurance systems are traditionally complex, rigid, and difficult to change. Our mission is to make them structured, versioned, and programmable so that product teams, engineers, and eventually AI systems can work with them safely and efficiently. As a Senior / Leading Software Engineer (f/m/d/x) AI-Enabled Insurance Platform , you will help design and build the core platform capabilities that power this vision. You will work on distributed systems, platform architecture, and developer tooling that enable teams and customers to build insurance products faster while maintaining correctness, transparency, and reliability. This role sits at the intersection of platform engineering, domain modeling, and AI-enabled software development. WHAT YOU WILL BE CHALLENGED WITH Design and build core platform services for a cloud-native insurance system Architect scalable, reliable microservices running on AWS container infrastructure Design APIs, metadata models, and workflows that support complex insurance products Help shape systems that are structured and versioned, enabling safe automation and future AI-assisted workflows Use modern AI-assisted development tools to accelerate design, coding, and testing Collaborate with Product, Customer Delivery, and Solution Architects to turn complex business requirements into robust platform capabilities Review code and mentor other engineers, contributing to a culture of strong engineering fundamentals and continuous learning Continuously improve our platform architecture, infrastructure, and developer productivity WHAT WE ARE LOOKING FOR Strong experience building complex production systems or platform services Comfort designing distributed systems and service architectures Experience with Golang, Python, and/or Node.js / TypeScript Hands-on experience running systems on modern cloud infrastructure (AWS or similar) Familiarity with microservices, containers, and CI/CD pipelines A strong focus on system design, data modeling, and long-term maintainability Regular use of AI tools as part of the engineering workflow, while maintaining full ownership of system correctness Clear communication and a collaborative mindset when working with engineering, product, and cust…