Senior Software Engineer, Insurance

Porch Group is a leading vertical software and insurance platform and is positioned to be the best partner to help homebuyers move, maintain, and fully protect their homes. We offer differentiated products and services, with homeowners insurance at the center of this relationship. We differentiate and look to win in the massive and growing homeowners insurance opportunity by 1) providing the best services for homebuyers, 2) led by advantaged underwriting in insurance, 3) to protect the whole home. As a leader in the home services software-as-a-service (“SaaS”) space, we’ve built deep relationships with approximately 30 thousand companies that are key to the home-buying transaction, such as home inspectors, mortgage companies, and title companies. In 2020, Porch Group rang the Nasdaq bell and began trading under the ticker symbol PRCH. We are looking to build a truly great company and are JUST GETTING STARTED. Job Title: Senior Software Engineer, Insurance Location: United States Workplace Type: Remote Job Summary Porch is reimagining what it means to be an insurance technology company, and we’re building it from the inside out. As a Senior Engineer I on our insurance platform team, you’ll build and own key services that power how we underwrite, administer, and scale insurance products. We’re an AI-first organization, so you’ll do your day-to-day development with agentic AI coding tools — not as an experiment, but as the way we ship. This is a hands-on build role on a greenfield platform. You’ll take projects from design through production within your area, make well-reasoned tradeoffs around scaling, reliability, and maintainability, and lean on senior teammates when you venture into less familiar parts of the codebase. If you like owning real services, shipping well-tested code, and growing alongside a strong team, you’ll fit right in. What You Will Do As A Senior Software Engineer AI-Native Engineering (How We Build) Use agentic AI coding tools as your primary development methodology for the platform build, not as an experimental side channel. Work within the team’s agent configuration patterns, custom skills, and CI/CD integration — and help improve them as you find rough edges. Make sure the code you ship with AI assistance meets our standards: a green CI pipeline, passing evaluations, and clean pre-commit hooks are non-negotiable. Apply good spec-driven, context-management practices that separate productive AI-assisted work from churn, and share what works with your teammates. AI Capability in the Platform (What We Build) Build agentic capabilities into the platform — agent-assisted configuration, AI-driven underwriting decisioning, document understanding for declarations and endorsements, and conversational interfaces for the operations team. Contribute to the RAG pipelines, retrieval, and tool-use patterns that ground LLM behavior in regulated insurance content (rate manuals, underwriting guidelines, state-specific rules). Implement the integration patterns (MCP, function calling, structured outputs) that expose platform capabilities to internal agents and external partners. Add observability, evaluation, and cost instrumentation to the AI features you own so their behavior is measurable, debuggable, and bounded. Follow the responsible-AI guardrails that keep agent-influenced decisions auditable and aligned with insurance regulatory requirements. Platform Architecture & Build Design and build core PAS services in your area — quoting, rating, binding, issuance, endorsements, renewals, cancellations, and reinstatements — making well-reasoned design decisions and tradeoffs as you go. Contribute to the rating engine, product configuration layer, and rules framework that let business teams launch new states and products without engineering bottlenecks. Implement data models for policy lifecycle, exposure management, and regulatory compliance, with guidance from senior engineers on the broader architecture. Build within the platform’s event-driven patterns and integration architecture for the carrier, vendor, and partner systems the platform speaks to. Transformation & Migration Build migration tooling: automated data extraction, transformation, validation, and reconciliation pipelines. Help keep existing vendor platforms stable while we build the replacement — you’ll context-switch between “keep the lights on” and “build the future” without dropping either. Collaboration & Growth Partner with Product and Insurance SMEs to refine requirements and turn domain needs into working software. Participate in design reviews, and support teammates through constructive code reviews and ad-hoc technical advice. Lead by example — strong ownership, accountability, and a high quality bar — and help other engineers grow their skills. Stay hands-on. This is a build role: you write production code every week. What You Will Bring As A Senior Software Engineer Required 5+ years of professional software engineering experience building and operating backend services in production. Demonstrated ability to lead at least one project from conception to production, breaking work into reasonably sized, well-tested releases. Production-grade engineering depth in Python, Java, or a comparable backend language; comfortable across the stack from data model to API to deployment. Solid systems design fundamentals: distributed systems, event-driven architecture, API-first design, and data modeling for transactional workloads. Hands-on experience building LLM-integrated features — RAG, tool use, or agent workflows — running in real software, not just prototypes. Working familiarity with agentic AI coding tools as part of your day-to-day development, with a point of view on what makes AI-assisted work reliable. Requires minimal direction to deliver in your area, and comfortable working in unfamiliar parts of the codebase with guidance. US-based; able to work core business hou