Lead Software Engineer

Company Description Insurity empowers insurance organizations to quickly capitalize on new opportunities by delivering the world’s most configurable, cloud-native, easy-to-use, and intuitively analytical insurance software. Just as importantly, we empower our people—providing the tools, support, and opportunities they need to grow and succeed.
We don’t just make bold promises—we deliver results. As the largest cloud-based software provider for the Property & Casualty market, Insurity is trusted by 22 of the top 25 P&C carriers and 7 of the top 10 wholesale brokers in the MGA space. Behind that trust is a team that delivers exceptional value and deep industry expertise.
While our technology sets us apart, it’s our people who truly make the difference. At Insurity, you’ll collaborate with some of the most creative and knowledgeable minds in insurance tech—in a culture that fosters innovation, teamwork, and continuous learning. Our award-winning onboarding experience welcomes and supports you from the moment you accept our offer.
Ready to grow your career with an industry leader? Apply today—we’re excited to welcome you. #UatInsurity
Role Description
Lead technical delivery for significant Policy Decisions capabilities from discovery and solution design through implementation, testing, deployment, and stabilization.
Translate product and business requirements into clear, scalable technical solutions that fit Policy Decisions and broader Insurity architecture.
Design and develop services, APIs, integrations, and user experiences using C#/.NET, Web APIs, React, SQL, and Azure.
Use Replit, Claude/Claude Code, GitHub Copilot, and similar AI-assisted tools to prototype, accelerate development, investigate defects, and improve engineering workflows.
Establish practical patterns for safe and effective AI-assisted software development, including code review, testing, security, observability, and documentation.
Lead design discussions, technical reviews, code reviews, and solution trade-off decisions across engineering, product, architecture, UX, QA, and delivery stakeholders.
Break complex problems into implementable increments and help the team maintain momentum in an evolving product environment.
Build maintainable, scalable, reusable, operable, and usable software while reducing technical debt and unnecessary complexity.
Develop automated tests and partner with QA to identify impact, improve coverage, and left-shift quality.
Support CI/CD, cloud deployment, environment management, troubleshooting, root-cause analysis, and production issue resolution.
Mentor engineers, provide technical guidance, and raise the team’s standards for design, coding, testing, and documentation.
Contribute to estimation, planning, technical documentation, delivery forecasting, and communication with stakeholders.
Qualifications
Recommended: 8+ years experience
Demonstrated experience leading the technical delivery of complex software capabilities.
Strong hands-on experience with C#/.NET and Web API development.
Experience building modern web applications with React or a comparable front-end framework.
Strong SQL and relational database skills, including the ability to work with complex business data and troubleshoot data-related issues.
Experience designing and deploying applications and services in Azure or a comparable cloud environment.
Experience with APIs, integrations, distributed systems, and production-grade application development.
A track record of making sound design decisions, balancing speed with maintainability, and reducing technical risk.
Practical experience using AI development tools—such as Replit and Claude—to build, test, troubleshoot, and deploy applications.
The judgment to review, test, secure, and improve AI-generated code and content before it reaches customers or production environments.
Strong understanding of software development practices, including version control, automated testing, CI/CD, observability, and secure development.
Ability to communicate clearly with engineers, architects, product managers, QA, UX, and business stakeholders.
A collaborative, self-directed approach and the ability to make progress in an environment with ambiguity and evolving requirements.
Experience with insurance technology, policy administration, product configuration, rating, rules, forms, or regulatory workflows.
Experience building configurable platforms, decision engines, rules systems, or other domain-heavy enterprise applications.
Experience with containerization, infrastructure automation, event-driven integrations, or platform engineering.
Experience establishing AI-assisted engineering practices within a development team.
Experience working across geographically distributed teams.

Work arrangement
No