Write efficient SQL queries and work extensively with relational databases and data-driven applications.
Develop and enhance user-facing functionality using React.
Review existing code and application architecture to identify opportunities for modernization and improvement.
Troubleshoot complex application and data issues by identifying root causes rather than simply addressing symptoms.
Collaborate closely with developers, QA resources, product stakeholders, and business partners.
Participate in code reviews and technical discussions, clearly explaining development decisions and potential tradeoffs.
Effectively leverage modern development tools, including AI-assisted development, while maintaining ownership and understanding of the resulting code.
Qualifications
Required
Strong professional development experience with .NET Core and C#.
In-depth SQL skills and experience working with relational databases, including demonstrated expertise in performance tuning and joins.
Experience developing modern web applications with React or Angular.
Strong backend application development experience, including business logic and data-intensive applications.
Demonstrated ability to analyze complex requirements and understand the business purpose behind application functionality.
Strong troubleshooting and root-cause analysis skills.
Ability to articulate why a particular technical approach was selected, what alternatives were considered, and the potential consequences of taking a different approach.
Experience working with existing or legacy applications and participating in application modernization initiatives.
Strong understanding of software development principles, application architecture, and maintainable coding practices.
Strong verbal and written communication skills with the ability to participate effectively in detailed technical discussions.
Preferred
Experience within financial services, retirement services, benefits, payroll, investment, or other transaction-oriented environments.
Experience modernizing legacy enterprise applications into newer .NET and web-based architectures.
Experience working on systems involving complex business rules, calculations, financial transactions, or large datasets.
Familiarity with AI-assisted software development tools and practices.
