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Responsibilities
Design and develop Tower Loan’s next-generation loan origination and servicing platform using C#, .NET 10 or later, ASP.NET Core, SQL Server, and modern UI frameworks such as Blazor or React.
Apply AI-first development practices throughout the software lifecycle, including requirements refinement, business rule extraction, architecture analysis, code generation, automated testing, refactoring, and documentation.
Lead the technical design and delivery of complex features, translating business requirements into practical architecture, implementation plans, and reliable software.
Design modular services with clear domain boundaries, reusable components, and well-defined APIs that support independent deployment, scalability, and maintainability.
Implement event-driven communication and asynchronous processing using Kafka or comparable messaging technologies, with appropriate handling of retries, duplicate messages, failures, and data consistency.
Engineer applications for enterprise-scale use across hundreds of locations, addressing concurrency, performance, resilience, and operational reliability.
Analyze legacy .NET Framework applications to identify business rules, dependencies, and workflows, ensuring required functionality is accurately incorporated into the new platform.
Support data migration, integration, and phased transition activities to maintain business continuity as the new platform replaces existing capabilities.
Build responsive, accessible user interfaces that simplify loan origination, account servicing, payment processing, and other operational workflows.
Design and optimize SQL Server schemas, stored procedures, views, queries, and indexes, emphasizing data integrity, transaction consistency, performance, and version control.
Develop and integrate AI capabilities into business applications, including intelligent assistants, document processing, knowledge retrieval, and automated workflows.
Build and maintain integrations with payment processors, document management and eSignature platforms, messaging services, analytics tools, and other internal and third-party systems.
Independently review and validate AI-generated code and other outputs for correctness, security, performance, and maintainability.
Implement appropriate controls for AI functionality, including access restrictions, sensitive data protection, output validation, evaluation, monitoring, and human review where warranted.
Create and maintain automated tests, collaborate with QA, and validate that delivered functionality meets intended business outcomes and established quality expectations.
Conduct code reviews, mentor other engineers, and contribute to engineering standards, architectural decisions, and continuous improvement.
Troubleshoot complex application and distributed system issues using logging, metrics, and tracing to identify root causes and improve reliability.
Contribute to CI/CD pipelines, deployment automation, technical documentation, data models, and API specifications.
Implement security and privacy controls consistent with company policies and applicable regulatory requirements.
Perform all other duties as assigned.
Requirements
Advanced proficiency in C# and modern .NET, including ASP.NET Core, API development, asynchronous programming, dependency injection, and application performance optimization.
Strong full-stack development skills, including Blazor or React and supporting web technologies such as HTML, CSS, JavaScript, or TypeScript.
Strong SQL Server development and troubleshooting skills, including relational data modeling, indexing, query optimization, and transaction management.
Strong understanding of modular software design, microservices, REST APIs, event-driven architecture, domain-driven design, and clean architecture principles.
Practical understanding of distributed systems, including service boundaries, asynchronous messaging, fault tolerance, idempotency, and eventual consistency.
Ability to design applications for substantial concurrent usage and deployment across geographically distributed business locations.
Demonstrated ability to use AI development tools effectively while maintaining ownership of technical decisions, code quality, testing, and delivered results.
Practical understanding of large language model integration, prompt design, retrieval-augmented generation (RAG), tool calling, and the limitations of AI-generated output.
Ability to extract and validate business rules from existing applications and translate them into clear requirements and maintainable implementations.
Experience with automated testing, source control, code reviews, and CI/CD pipelines.
Excellent debugging, analytical, and problem-solving skills, with the ability to evaluate technical tradeoffs and resolve complex issues.
Ability to work independently, lead technical efforts, mentor teammates, and communicate effectively with technical and business stakeholders.
Demonstrated integrity, discretion, and professionalism when handling sensitive or confidential information.
Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field required.
Five or more years of professional software development experience required, including substantial hands-on experience with C# and modern .NET.
Demonstrated experience owning the design, development, testing, and delivery of complex enterprise applications required.
Experience developing microservices and event-driven integrations in distributed application environments required.
Experience developing user interfaces with Blazor or React required.
Experience with SQL Server database development and performance tuning required.
Demonstrated experience using AI tools within the software development lifecycle and integrating AI or large language model services into applications required.
Proven experience integrating third-party APIs and developing internal services or reusable software components required.
Preferred
Experience with major application rewrites, platform modernization, or migration from legacy .NET Framework systems preferred.
Experience supporting applications serving large user populations across multiple business locations preferred.
Experience with Kafka, Redis, containerization, and cloud or private data center deployments preferred.
Experience implementing AI evaluation, monitoring, and safeguards in production applications preferred.
Experience with financial services, lending, loan origination, loan servicing, payment processing, or other regulated business systems preferred.
Relevant certifications in software development, AI, or cloud technologies preferred.
Physical Requirements
Stand, walk, and/or sit for eight (8) hours a day Communicate effectively, verbally, written, in person, via telephone, or electronically.
Lift and maneuver up to 20 lbs.
The above description outlines the most significant job functions performed, but may include other similar functions or assignments not explicitly mentioned.
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