Associate Application Developer

Summary

Thoriva, an Infinite Company, is an AI technology company delivering intelligent, data-driven solutions for government operations. The Associate Application Developer will use AI-assisted development tools and modern engineering practices to analyze and improve legacy mainframe applications, reduce application backlogs, and support application modernization. The role includes developing utilities, services, APIs, automation, documentation, tests, proofs of concept, and reusable engineering assets while collaborating with experienced technical teams.

Responsibilities

• Use AI-assisted development tools for code generation, code explanation, documentation, test creation, impact analysis, troubleshooting, and developer productivity while maintaining traceability of prompts, generated outputs, reviews, test evidence, and final engineering decisions
• Develop modern utilities, scripts, services, APIs, or automation that help solve problems involving legacy applications and development workflows
• Analyze legacy source code, technical documentation, batch-job definitions and output, data structures, interfaces, and operational dependencies with guidance from experienced team members
• Translate legacy business logic into clear technical documentation, test scenarios, service definitions, and modernization-ready requirements that support current backlog delivery and reduce dependency on undocumented institutional knowledge
• Develop proofs of concept and incremental solutions that connect mainframe capabilities with distributed, cloud, web, data, or API-based technologies, and document the technical findings, constraints, and reusable patterns that should inform future modernization decisions
• Create and maintain unit tests, automated tests, technical documentation, and reusable engineering assets
• Participate in code reviews, testing, defect resolution, release activities, and production-support analysis with guidance appropriate to an early-career developer
• Follow established secure development, SDLC, change management, responsible AI, and release processes
• Continuously build knowledge of the application domain, mainframe concepts, AI development practices, and modernization patterns

Skills

• Bachelor's degree in computer science, software engineering, information systems, data science, or a related field, or equivalent practical experience
• Academic, internship, project, or professional experience developing software with a modern language such as Java, Python, C#, JavaScript, or TypeScript
• Academic, internship, project, or professional experience using AI-assisted development tools or generative AI capabilities to analyze, generate, test, document, or troubleshoot software
• Foundational understanding of software development concepts, source control, APIs, testing, debugging, and data structures
• Ability to learn unfamiliar systems, trace application behavior across technologies, ask effective questions of subject-matter experts, and break complex technical problems into manageable steps
• Strong analytical, problem-solving, troubleshooting, written communication, and collaboration skills
• Willingness to work with legacy systems and partner closely with experienced mainframe developers
• Ability to critically review AI-generated code, documentation, tests, and analysis for correctness, security, maintainability, and alignment with established engineering standards before the output is incorporated into a deliverable
• Ability to work effectively within a team while managing assigned work with appropriate guidance
• Bachelor's or higher
• Experience with GitHub Copilot, IBM watsonx, Azure AI, or comparable AI-enabled development tools, including practical use for code comprehension, test generation, documentation, or controlled code generation
• Exposure to cloud platforms, containerization, CI/CD pipelines, REST APIs, microservices, or event-driven architecture
• Experience with automated testing, code analysis, data transformation, or developer-productivity tooling
• Familiarity with relational databases, SQL, structured files, or enterprise data integration
• Coursework, project, internship, or professional exposure to COBOL, JCL, batch processing, job scheduling, VSAM, DB2, CICS, or another enterprise mainframe technology
• Exposure to regulated, financial services, government, or other mission-critical environments
• Ability to obtain and maintain a U.S. citizen security clearance, if required for client or federal program support

Qualifications

Must Haves

• Bachelor's degree in computer science, software engineering, information systems, data science, or a related field, or equivalent practical experience
• Academic, internship, project, or professional experience developing software with a modern language such as Java, Python, C#, JavaScript, or TypeScript
• Academic, internship, project, or professional experience using AI-assisted development tools or generative AI capabilities to analyze, generate, test, document, or troubleshoot software
• Foundational understanding of software development concepts, source control, APIs, testing, debugging, and data structures
• Ability to learn unfamiliar systems, trace application behavior across technologies, ask effective questions of subject-matter experts, and break complex technical problems into manageable steps
• Strong analytical, problem-solving, troubleshooting, written communication, and collaboration skills
• Willingness to work with legacy systems and partner closely with experienced mainframe developers
• Ability to critically review AI-generated code, documentation, tests, and analysis for correctness, security, maintainability, and alignment with established engineering standards before the output is incorporated into a deliverable
• Ability to work effectively within a team while managing assigned work with appropriate guidance
• Bachelor's or higher

Nice to Haves

• Experience with GitHub Copilot, IBM watsonx, Azure AI, or comparable AI-enabled development tools, including practical use for code comprehension, test generation, documentation, or controlled code generation
• Exposure to cloud platforms, containerization, CI/CD pipelines, REST APIs, microservices, or event-driven architecture
• Experience with automated testing, code analysis, data transformation, or developer-productivity tooling
• Familiarity with relational databases, SQL, structured files, or enterprise data integration
• Coursework, project, internship, or professional exposure to COBOL, JCL, batch processing, job scheduling, VSAM, DB2, CICS, or another enterprise mainframe technology
• Exposure to regulated, financial services, government, or other mission-critical environments
• Ability to obtain and maintain a U.S. citizen security clearance, if required for client or federal program support

Benefits

• Comprehensive benefits package including health, dental, vision, 401(k), and paid time off (PTO)
• Flexibility for remote work