Senior Software Engineer - Full Stack

Salary Range: $170,000-$300,000 per yearCompensation Note: Final compensation depends on the candidate's location and the level at which they are hired.About the RoleThis opportunity is for a Senior Software Engineer - Full Stack to build and scale AI-native software that automates complex mortgage workflows. The role combines full-stack product development, distributed systems, infrastructure, data architecture, third-party integrations, and mission-critical AI agents.You will own complex initiatives from architecture through production deployment, contribute across frontend and backend systems, and help improve the reliability, observability, security, and scalability of a high-throughput cloud platform.What You'll DoAI Product DevelopmentArchitect, build, and launch complex, multi-step AI agents that automate operational workflows.Develop reliable AI-driven systems using evaluation frameworks, experiment design, dataset curation, and other modern AI product development practices.Design and develop full-stack web application features from initial product design through deployment.Build responsive frontend experiences using React and TypeScript.Develop scalable backend services using Node.js, Express, TypeScript, GraphQL, and Apollo.Share strongly typed TypeScript code across frontend, backend, and other packages within a monorepo.Create readable, maintainable, and effective architecture patterns that support enterprise customers.Integrations and Data SystemsIntegrate with third-party lending service APIs for document generation, disclosures, automated underwriting, fraud prevention, and related workflows.Design and scale complex PostgreSQL schemas containing large volumes of detailed loan data.Develop performant approaches for storing, retrieving, and updating complex relational data.Use generated TypeScript types from PostgreSQL and GraphQL schemas to maintain end-to-end type safety.Cloud Infrastructure and ReliabilityArchitect, build, and launch cloud-based job processing infrastructure on AWS.Improve backend observability, reliability, scalability, and operational efficiency.Build and operate distributed systems using AWS services including ECS, RDS, ElastiCache, Kafka, and Elasticsearch.Manage infrastructure as code using Terraform.Support automated deployment of temporary staging environments for pull requests.Apply an SRE-oriented mindset to create infrastructure that is reliable, observable, and requires minimal maintenance.Testing, Security, and QualityUse production-like test data and automated end-to-end, integration, and performance testing utilities.Maintain a strong focus on application security and the protection of sensitive personal data.Balance engineering speed with reliability, maintainability, and high system availability.Contribute product ideas and consider the broader user and business impact of technical decisions.Leadership and CollaborationLead mission-critical engineering projects and contribute to technical direction.Collaborate across product and engineering functions to deliver scalable, user-focused solutions.Mentor less experienced engineers in technical and professional skills.Communicate openly about technical decisions, challenges, outcomes, and lessons learned.Languages: TypeScriptFrontend: ReactAPIs: GraphQL, Apollo, third-party service integrationsInfrastructure: AWS, Docker, TerraformAWS Services: ECS, RDS, ElastiCache, Kafka, Elasticsearch, and related servicesTesting: End-to-end, integration, and performance testingQualificationsExperience architecting and delivering complex full-stack web application features from design through deployment.Strong TypeScript experience across frontend and backend systems.Experience building modern frontend applications with React.Experience developing backend services with Node.js, Express, GraphQL, and Apollo.Experience designing and integrating third-party APIs.Experience building scalable relational database schemas and optimizing complex data access patterns.Experience with PostgreSQL or comparable relational database technologies.Experience building and scaling distributed systems in cloud environments.Experience with AWS infrastructure and containerized applications.Experience with infrastructure-as-code tools such as Terraform or CloudFormation.Strong understanding of system reliability, observability, security, and maintainability.Ability to build readable, maintainable software architecture for enterprise use cases.Product-oriented mindset with the ability to consider user experience and business outcomes.Interest in mentoring less experienced engineers.Preferred ExperienceFamiliarity with modern AI product development lifecycles, including evaluations, experiment design, and dataset curation.Experience building reliable, multi-step AI agents or other LLM-powered systems.Experience scaling high-throughput distributed systems.Strong security awareness when working with sensitive personal or financial data.SRE-oriented experience building highly observable and low-maintenance infrastructure.Medical coverage with 100% of employee and family premiums coveredDental and vision coverage401(k) planHSA and FSA optionsAccess to a lender partner employee loan programRemote-first work environmentFlexible paid time off