Senior Application Developer

Apply Job Type Full-time Description The Senior Application Developer leads the design and delivery of complex application features and cross-system solutions in a primarily Microsoft environment. The role translates ambiguous business needs into actionable requirements and technical designs, owns work from discovery through production support, and provides technical guidance to other developers. The Senior Application Developer applies advanced judgment to AI-assisted requirements, designs, implementations, testing, and documentation and helps the team use AI safely and effectively. Essential Job Functions Lead requirements analysis, solution design, implementation, testing, deployment, and support for complex application features and cross-system solutions. Facilitate discussions with product owners, business stakeholders, and engineers to clarify outcomes, assumptions, dependencies, risks, acceptance criteria, and technical constraints. Design secure, scalable, maintainable solutions using .NET, C#, React, TypeScript, SQL Server, REST APIs, Azure services, and approved integration patterns. Define API contracts, data models, application boundaries, implementation plans, and testing strategies for assigned solutions. Establish unit, integration, API, regression, and browser-based automated testing appropriate to solution risk and complexity. Review technical designs, pull requests, code changes, test coverage, and documentation and provide clear, actionable feedback. Troubleshoot complex production issues, perform root-cause analysis, and guide durable corrective actions. Identify technical debt and recommend remediation based on risk, business value, maintainability, and delivery priorities. Maintain and improve CI/CD pipelines, release practices, development standards, and operational documentation. Mentor Application Developers in software design, technical problem solving, testing, documentation, and responsible AI-assisted development. Contribute reusable prompts, instructions, patterns, reference examples, and quality practices to the development team. AI-Enabled Development Expectations Use AI across requirements analysis, technical design, implementation, testing, debugging, documentation, and code review where approved and appropriate. Convert business discussions and source materials into draft user stories, acceptance criteria, specifications, test scenarios, and implementation plans, then validate them with authorized stakeholders. Identify incorrect assumptions, missing requirements, security concerns, edge cases, untested paths, and incomplete logic in AI-generated artifacts. Compare AI-assisted requirements, designs, code, and tests for traceability, consistency, and coverage. Determine when an AI-assisted assignment is too broad for practical human review and decompose it into smaller increments. Coach developers on prompt quality, context management, secure data handling, validation,…