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AI Software Engineer
Gainwell Technologies. Design, develop, enhance, and modernize enterprise-scale Java, JavaScript, and database-driven healthcare applications .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in Java and JavaScript application development, with a strong focus on SQL optimization, AWS RDS solutions, and the application of AI models for coding and technical problem solving. Proven ability to provide technical leadership through solution design, code reviews, and mentoring in enterprise-scale healthcare applications.
Highest-signal resume keywords
Java Application DevelopmentJavaScript Application DevelopmentSQL OptimizationAWS RDS SolutionsTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaJavaScriptSQLPostgreSQLOracleREST APIsSOAP APIsApplication DesignDebuggingPerformance Tuning
Soft Skills
MentoringTroubleshootingCode Reviews
Tools & Technologies
GitHub CopilotAI Models
Industry Keywords
Healthcare ApplicationsEnterprise ApplicationsTechnical SpecificationsModern Development PracticesIntegration Layers
Tech Stack
Tools & technologiesAWSJavaJavaScriptOraclePostgresSOAPSQL
About the role
Key responsibilities & impact- Design, develop, enhance, and modernize enterprise-scale Java, JavaScript, and database-driven healthcare applications
- Develop and optimize complex SQL and AWS RDS solutions, including query tuning, indexing, execution-plan analysis, and application performance
- Apply GitHub Copilot and advanced AI models across coding, testing, debugging, refactoring, code reviews, documentation, and technical analysis
- Use AI models for complex problem solving, architecture, root-cause analysis, performance issues, and legacy-code analysis
- Support REST APIs, healthcare integrations, and HL7 interfaces
- Provide technical leadership through solution design, peer reviews, troubleshooting, mentoring, and engineering best practices
- Design, develop, review, test, document, and implement complex Java, JavaScript, SQL, and database-driven solutions
- Perform code and design reviews and promote modular, maintainable, secure, and testable software engineering practices
- Provide complex technical and production support across application, database, and integration layers
- Review technical specifications and recommend solutions for modernization, performance, scalability, reliability, and technical-debt reduction
- Ensure AI-generated solutions are reviewed, tested, secured, and validated before implementation
Requirements
What you’ll need- Ten or more years of application development or software engineering experience supporting complex enterprise applications
- Advanced hands-on expertise in Java and JavaScript
- Experience with REST/SOAP APIs, application design, testing, debugging, and modern development practices
- Strong experience with SQL, relational databases, PostgreSQL/Oracle, AWS RDS, indexing, query optimization, and performance tuning
- Experience using GitHub Copilot and advanced AI models for coding, code analysis, refactoring, testing, debugging, documentation, and technical problem solving
- Strong experience with solution design, code reviews, technical specifications, complex troubleshooting, mentoring, and modernization of enterprise applications
- Video cameras must be used during all interviews and during the initial week of orientation
Benefits
Comp & perks- Work flexibility
- Learning and career development
- Technical credentials and certifications
- Generous, flexible vacation policy
- Educational assistance
- Comprehensive leadership and technical development academies
- Opportunity to work on cutting-edge AI solutions
- 401(k) employer match
- Comprehensive health benefits