Senior Software Engineer, Insurance

Vaga não está no LinkedIn

🕒 Julho 7

☕ Washington – Remoto

☕ Washington – Remote

💵 $168.800 - $236.300 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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PORCH 💚

SiteLinkedInTodas as Vagas

1 - 10 funcionários

Fundada em 2022

💼 Consultoria

🏥 Saúde

🏨 Hospitalidade

Consulting • Healthcare • Hospitality

PORCH 💚 é uma companhia de seguros de nova geração que oferece software e serviços abrangentes para várias indústrias de serviços residenciais. Ela simplifica as interações para profissionais de serviços domésticos, clientes de serviços públicos, corretores de imóveis e proprietários, oferecendo ferramentas para inspeções, mudanças, processos de hipoteca e manutenção do lar. Por meio de suas parcerias, a Porch melhora a experiência de compra de imóveis ao simplificar solicitações de serviços, integrar novos clientes para empresas de garantia e seguros, e auxiliar em projetos de melhoria da casa.

Descrição

• 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. • 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. • 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. • 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. • 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.

🎯 Requisitos

• 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 hours.

🏖️ Benefícios

• Health insurance (three Medical plan options) • Dental plan options (two) • Vision plan • Critical Illness, Hospital Indemnity and Accident plans (voluntary) • Partially employer funded Health Savings Account • Employee Flexible Savings Accounts (healthcare, dependent care, transportation) • Company paid Basic Life and AD&D • Short and Long-Term Disability benefits • Voluntary Life and AD&D plans • Traditional and Roth 401(k) plans (with discretionary employer match) • Supportlinc (employer paid wellbeing program) • LifeBalance (year-round discounts) • Flexible paid vacation • Company-paid holidays (typically nine per year) • Paid sick time • Paid parental leave • Identity theft program • Travel assistance • Fitness and other discounts programs