Software Engineer III

Overview Senior Software Engineer — Claims Platform Works intensely across all phases of software delivery — conceptual design, detailed design, implementation, testing, and production deployment — on a large-scale enterprise insurance claims platform. Leads internal architecture discussions, collaborates closely with business analysts to clarify requirements and define technical deliverables, and contributes to the strategic direction of the software. Maintains current knowledge of market trends including AI/ML and cloud-native patterns.

Responsibilities Architected and delivered a multi-tier microservices platform for enterprise insurance claims processing, spanning 30+ ASP.NET Core Web APIs organized across distinct Experience, Process, and System service layers to enforce separation of concerns and independent deployability

Built full-stack Blazor Web Assembly applications (Mud Blazor, Fluxor/Redux state management, Fluent Validation) and React SPAs for claims management portals serving adjusters, TPA users, and management teams

Wrote intermediate to advanced T-SQL queries, stored procedures, and schema designs across multiple MSSQL databases; applied service-oriented architecture patterns throughout the platform

Drove Dev Ops maturity through Azure Dev Ops CI/CD pipelines, Docker containerization, and environment-stratified configuration management (Dev User Test Production)
Conducted regular code reviews to enforce quality standards, identify design issues early, and grow technical capability across the team; contributed to defining and documenting coding conventions adopted platform-wide Mentored junior and mid-level engineers through pair programming and architectural guidance; developed Git Hub Copilot onboarding guides and AI usage standards for developers and business analysts

Qualifications

Additional Experience (Nice to Have):

Designed and built a custom agentic AI workflow engine enabling configurable, multi-step AI reasoning pipelines — supporting tool execution, memory scoping, verification steps, and structured output — without hardcoded orchestration logic; applied across claims triage, coverage determination, and document analysis

Built and maintained a Retrieval-Augmented Generation (RAG) service backed by Azure AI Search, powering AI-assisted features including compensability and coverage determination workflows, document data extraction, photo analysis, and automated notes summarization using Azure OpenAIJob Summary

Requisition :
Information Technology Position Type:
Regular Full-Time