We're helping grow an insurtech company building modern systems that power underwriting, claims, pricing, and policy workflows. Their mission is to replace Legacy processes with scalable, data-driven software. They're a small, high-impact engineering team where senior engineers play a key role in shaping both the product and the technical direction.

We're looking for a Senior Software Engineer with Python experience to help architect, build, and scale core Back End systems. This role is ideal for someone who enjoys owning complex problems end-to-end, mentoring others, and making thoughtful technical decisions in a regulated but evolving space.

You'll work closely with product, data, and business stakeholders to deliver reliable systems that directly support real-world insurance operations.

• Design, build, and maintain production-grade Back End services in Python
• Own critical components of the platform, from architecture through deployment
• Design and evolve APIs that support insurance workflows (policies, claims, underwriting, pricing, integrations)
• Work with relational databases and data pipelines handling large, structured datasets
• Drive best practices around code quality, testing, observability, and performance
• Collaborate cross-functionally to turn business requirements into scalable technical solutions
• Mentor junior engineers and contribute to technical decision-making

• 5+ years of professional software engineering experience
• Strong, hands-on experience with Python in production
• Experience building Back End or full-stack systems at scale
• Solid understanding of system design, APIs, and data modeling
• Experience working in cloud environments (AWS, GCP, or Azure)
• Comfortable operating with autonomy in a small or growing team

• Experience with FastAPI, Django, or Flask
• Exposure to insurance, fintech, healthcare, or other regulated industries
• Experience modernizing or integrating with Legacy systems
• Familiarity with Front End technologies (React, TypeScript) for full-stack work
• Interest or experience with data engineering, automation, or ML-adjacent systems