Staff Engineer - Insurance Platform

About the role

The future is bright for the Porch Group, and we'd love for you to be a part of it as our Staff Engineer, Insurance Platform. Porch is reimagining what it means to be an insurance technology company — and we're doing it from the inside out. As a Staff Engineer on our Insurance Platform team, you'll architect the foundational systems that power how we underwrite, administer, and scale insurance products. We're an AI-first organization, which means you won't just be building for today's requirements — you'll be designing systems intelligent enough to evolve alongside the business.

Responsibilities

• Use agentic AI coding tools as the primary development methodology for the platform build — not as an experimental side channel
• Define agent configuration patterns, custom skills, and CI/CD integration that make AI-assisted development reliable and auditable at production scale
• Build evaluation frameworks, quality gates, and pre-commit hooks that ensure agent-generated code meets our standards
• Orchestrate multi-agent workflows for parallel feature delivery; lead the team in spec-driven coding, context management, and productive AI-assisted practices
• Mentor the broader engineering team on AI-assisted development and evolve those practices as tooling and models advance
• Ai-Native Engineering — How We Build
• AI Capability in the Platform — What We Build
• Platform Architecture & Build Design and build core PAS services: quoting, rating, binding, issuance, endorsements, renewals, cancellations, and reinstatements
• Own the technical architecture for a modular, API-first platform supporting multi-state, multi-carrier homeowners insurance
• Design migration tooling: automated data extraction, transformation, validation, and reconciliation pipelines
• Lead the engineering strategy to migrate off existing vendor PAS platforms onto our custom-built platform
• Transformation & Migration
• Technical Leadership

Requirements

• 10+ years of professional software engineering experience, with at least 3 years at a Staff or Principal level influencing engineering organizations of 30+ engineers and partnering with technical executives to set multi-year technical strategy in the insurance domain
• Homeowners or other personal-lines P&C domain depth; auto and home strongly preferred
• Directly responsible for designing, building, and operating a custom-built P&C policy administration system in production — not configuring or implementing a vendor platform
• Demonstrated ownership of a PAS transformation or migration: leading the move from a legacy or vendor system to a custom-built platform, including data migration, parallel-run validation, and operational cutover
• Production experience shipping LLM-integrated systems — RAG pipelines, agent workflows, tool-use patterns, or other agentic capabilities running at real scale
• Hands-on experience using agentic AI coding tools as a primary development methodology, with a working point of view on agent configuration, custom skills, and evaluation patterns
• Strong systems design fundamentals: distributed systems, event-driven architecture, API-first design, data modeling for transactional and regulatory workloads
• Production-grade engineering depth in Python, Java, or a comparable backend language; comfortable across the stack from data model to API to deployment
• Ownership of a multi-quarter platform initiative end-to-end — from architecture through delivery

Qualifications

• US-based; able to work core business hours

Skills

• Strong systems design fundamentals: distributed systems, event-driven architecture, API-first design, data modeling for transactional and regulatory workloads
• Production-grade engineering depth in Python, Java, or a comparable backend language; comfortable across the stack from data model to API to deployment
• Hands-on experience using agentic AI coding tools as a primary development methodology, with a working point of view on agent configuration, custom skills, and evaluation patterns
• Production experience shipping LLM-integrated systems — RAG pipelines, agent workflows, tool-use patterns, or other agentic capabilities running at real scale
• Ownership of a custom-built P&C policy administration system in production — not configuring or implementing a vendor platform
• Ownership of a PAS transformation or migration: leading the move from a legacy or vendor system to a custom-built platform, including data migration, parallel-run validation, and operational cutover

Benefits

What’s next? Submit your application and our Porch Group Talent Acquisition team will be reviewing your application shortly! If your resume gets us intrigued, we will look to connect with you for a chat to learn more about your background, and then possibly invite you to have virtual interviews.

Pay

Pay Range: $187,500 - $237,500 annually