Advanced .NET Software Engineer (Cloud & AI-Assisted Workflows)

About the position We are seeking an Advanced .Net Software Engineer to join the Data Import product team responsible for building the core cloud-backed systems that help TaxAct and Taxwell users seamlessly import tax documents and financial data. This is a product-engineering role focused on feature delivery, event-driven processing, and intelligent document extraction workflows. The ideal candidate is an expert in modern C#/.NET and AWS serverless infrastructures who can trace a problem end-to-end—following it through Web APIs, SQS messages, S3 objects, and system logs. Additionally, this role embraces a modern engineering lifecycle, actively utilizing agentic AI tools like Claude Code to accelerate implementation, debugging, and code discovery. Responsibilities

• Build, maintain, and optimize .NET APIs, AWS Lambda handlers, shared SDKs, and internal client packages that drive document ingestion and data extraction flows.
• Own event-driven processing microservices involving high-frequency uploaded files, S3 object references, SQS queue messages, and data state transitions.
• Enhance and optimize Intelligent Document Processing (IDP) systems including OCR, document classification, form mapping, and data extraction for tax forms (W-2, 1099, 1040, etc.).
• Debug high-severity production incidents across application code, environment configurations, DynamoDB records, and external AI/OCR dependencies using Splunk and CloudWatch.
• Design, enhance, and manage internal configuration and diagnostics tooling built on Blazor Server and MudBlazor.
• Write focused automated unit, integration, and regression tests ensuring robust path coverage for both normal and failure conditions.
• Integrate AI-assisted and agentic development workflows responsibly into daily tasks to accelerate codebase exploration, refactoring, and technical documentation.

Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, or a related technical field (or an equivalent combination of education and production-grade work experience).
• 3+ years of professional experience building, supporting, and troubleshooting production application features, APIs, and event-driven backend services. (5+ years of experience with clear hands-on ownership of production serverless architectures required for Senior calibration).
• Proven production experience writing clean, testable, and maintainable C# code in distributed environments.
• Direct experience handling asynchronous processing patterns, file ingestion pipelines, and multi-service cloud integrations.
• Experience working inside Agile product teams (Azure DevOps, Scrum, Kanban) with a strong focus on feature ownership rather than pure infrastructure support.
• Advanced C# proficiency across .NET 8 and .NET 10, ASP.NET Core Web APIs, and Minimal APIs.
• Hands-on integration with AWS Lambda, S3, DynamoDB (modeling/querying), SQS (including SQS large messages), SNS, Systems Manager Parameter Store, Secrets Manager, Cognito, and IAM policies. (Transferable serverless experience with Azure Functions/Cosmos DB or GCP Cloud Run/PubSub is acceptable if backed by elite product engineering fundamentals).
• Mastery of agentic coding workflows and developer tools, specifically Claude Code, Cursor, or OpenAI Codex.
• Experience with xUnit, Mocking libraries (Moq/NSubstitute), Playwright, and test-data fixtures.
• Production troubleshooting using Splunk, CloudWatch, structured logging, and metrics analysis.
• Azure DevOps pipelines, Git, Docker containerization, and local cloud-service orchestration (LocalStack or similar).
• Advanced English proficiency with clear written and verbal technical communication skills (essential for PR reviews, incident runbooks, and cross-team alignment).
• A strict production-support mindset featuring high ownership, triage capabilities, rollback thinking, and excellent escalation judgment.
• Pragmatic product engineering mindset: prefers targeted fixes, safety layers, and phased migrations over defaulting to high-risk rewrites.
• Strong critical evaluation skills—the ability to rigorously review, test, and validate AI-generated code and documentation for security and performance before pushing to production.

Nice-to-haves

• Direct experience with Document Intelligence and AI Extraction platforms (e.g., Azure Document Intelligence, AWS Textract, Amazon Bedrock, or SageMaker-adjacent services).
• Prior background handling highly sensitive customer information, protected financial records, tax data, or operating within heavily regulated compliance frameworks.
• Practical experience working with Blazor Server, MudBlazor, or integrating backend services with frontend JavaScript/TypeScript UI frameworks.
• Infrastructure as Code (IaC) exposure (Terraform, CloudFormation, AWS CDK) as a supplement to feature engineering.
• Experience designing and implementing feature flags, gradual canary rollouts, and environment-specific configuration management.

Benefits

• Investing in education
• Onsite English classes
• Training in the latest technologies, including AI, data analytics and machine learning