Job Description
Company Overview\n
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\n A modern, tech-forward insurance agency operating on an AI-native brokerage platform. The mission is to leverage the latest technology and innovation to create better outcomes for agents, customers, and local communities. The platform simplifies the "agent desktop," allowing agents to focus on customer interactions while automating complex workflows through natural language interfaces and evolving based on behavioral data. Role Overview Seeking an experienced Software Architect to lead the design and development of the next generation of an AI-powered insurance platform. This role will drive architectural decisions across the stack, including modern web applications, scalable microservices, integrations, and APIs, ensuring systems are robust, scalable, and maintainable.\n
\n This position partners cross-functionally with Product, Engineering, Business, Data, Finance, and Operations teams to define technical strategy and support a high-growth environment. What You'll Do • Design AI-Powered Systems: Architect and guide the implementation of agentic AI workflows to automate and enhance solutions for agents and customers\n
\n • Microservices Architecture: Define and evolve Java and Spring-based microservices architecture to enable scalable, loosely coupled, and resilient systems\n
\n • Integration Engineering: Architect integrations with external systems and define API standards for internal and external consumption\n
\n • Frontend Architecture: Define scalable frontend architecture with modular components while minimizing technical debt\n
\n • Application Development: Guide the design and development of high-performance enterprise web applications using Next.js, React, Tailwind CSS, and related technologies\n
\n • Monitoring & Observability: Establish monitoring and observability strategies to ensure system health, reliability, and performance\n
\n • Quality & Engineering Standards: Define testing strategies including component, integration, and end-to-end automation standards\n
\n • Data Engineering: Provide architectural guidance on data migration, ETL processes, and overall data flow design\n
\n • User Experience: Ensure responsive interfaces that function seamlessly across devices and browsers\n
\n • Cross-Team Collaboration: Partner with product managers, designers, and engineers to translate business requirements into scalable technical solutions\n
\n • Technical Documentation: Define and maintain architecture documentation, design standards, and key technical decisions Requirements – What You Bring • Bachelor's degree in Computer Science or a related field\n
\n • 8+ years of experience building enterprise applications\n
\n • Proven experience in a software architect, staff, or principal engineering role\n
\n • Strong understanding of microservices architecture and distributed systems design\n
\n • Expertise in Enterprise Java and Spring stack (Spring Boot, Spring Cloud, Spring Data, Spring AI)\n
\n • Proficiency in modern frontend frameworks such as React, Vue, or Svelte, with strong knowledge of component-based architecture and state management\n
\n • Strong command of HTML, CSS, and frameworks such as Tailwind CSS\n
\n • Experience designing systems that handle streaming and real-time AI outputs such as WebSockets and server-sent events\n
\n • Experience with Next.js and server-side rendering concepts\n
\n • Knowledge of state management solutions such as Redux, Zustand, or Context API\n
\n • Strong understanding of relational databases and SQL\n
\n • Experience designing and governing RESTful APIs\n
\n • Experience architecting and integrating LLM-based workflows and AI capabilities\n
\n • Working knowledge of AWS services including SQS, SNS, S3, RDS, and Lambda\n
\n • Experience with CI/CD pipelines and DevOps practices Preferred Qualifications • Experience with vector databases such as PGVector, Pinecone, Weaviate, or Milvus\n
\n • Experience with cloud platforms including AWS, Azure, or GCP\n
\n • Knowledge of containerization and orchestration such as Docker and Kubernetes\n
\n • Familiarity with message queues and event-driven architecture\n
\n • Experience with testing frameworks such as JUnit, Mockito, or TestContainers\n
\n • Experience optimizing performance and scalability in high-traffic systems\n
\n • Understanding of caching strategies using Redis or Memcached\n
\n • Experience with observability tools such as Prometheus, Grafana, New Relic, or Datadog What Makes You Stand Out • Experience in Insurtech or Fintech environments\n
\n • Experience implementing AI or ML solutions in production\n
\n • Experience driving architectural decisions and technical direction across teams