Senior Modernization Engineer

Texas Health & Human Services Commission•Austin, TX

8d•$8,488 - $11,422•Onsite

About The Position

The Senior Modernization Engineer performs highly complex computer systems analysis for the Chief Technology Office, focusing on enterprise application modernization, legacy system transformation, domain-driven design, and responsible use of AI-assisted engineering practices. The role assesses aging technology platforms, analyzes legacy code and system dependencies, identifies business domains and bounded contexts, reduces technical debt, and develops practical strategies to improve application scalability, security, interoperability, and maintainability. The position supports modernization planning; source-code analysis; migration of business logic; refactoring of monolithic applications; design of modular, cloud-ready service patterns; and transition of legacy functionality to modern application frameworks. It also uses AI tools where appropriate to support code analysis and modernization planning, applies secure development practices, prepares technical documentation, maps current- and target-state architectures, troubleshoots application issues, and supports modernization roadmaps. The engineer collaborates with engineering, architecture, cloud, security, data, AI, and program teams to align technical solutions with agency needs and works under general supervision with moderate latitude for initiative and independent judgment. This is a full-time, onsite position at an HHS office in Austin, Texas. The position is open to U.S. citizens and permanent residents; selected candidates must be legally authorized to work in the U.S. without sponsorship and willing to commute to the office on required days. An employment offer is contingent on available budgeted funds, and salary is determined in accordance with HHSC budgetary limits and human resources requirements.

Requirements

Graduation from an accredited four-year college or university with major coursework in computer science, computer engineering, or a related field; experience may substitute for education on a year-for-year basis.
At least 4 years of experience in enterprise systems refactoring, legacy migration, or application modernization.
Thorough knowledge of enterprise application modernization, domain-driven design, legacy system assessment, technical debt reduction, modernization roadmaps, and AI-assisted modernization analysis.
Thorough knowledge of legacy enterprise computing frameworks, modern application frameworks, modular architecture, bounded contexts, domain services, API and service integration patterns, and cloud-ready design approaches.
Thorough knowledge of secure application development, OWASP Top 10 vulnerabilities, DevSecOps, CI/CD concepts, testing practices, responsible AI-assisted development, and approved technology standards.
Knowledge of translating legacy business rules, workflows, data dependencies, and domain concepts into modern technical requirements, domain models, and implementation designs.
Strong skill in reading, reverse-engineering, documenting, and assessing undocumented legacy application structures, data flows, business rules, domain boundaries, and tightly coupled code paths.
Strong skill in applying domain-driven design to refactor and rewrite legacy business logic into modular, maintainable, secure, AI-ready, and cloud-ready components and services.
Strong skill in troubleshooting application defects, integration issues, performance constraints, runtime environments, and service-to-service communication errors.
Skill in responsibly using AI-assisted engineering tools to support code understanding, pattern identification, documentation, modernization planning, and developer productivity while validating outputs for accuracy, security, and compliance.
Ability to develop modernization blueprints, domain models, technical documentation, architecture mappings, and implementation guidance.
Ability to translate legacy business processes, system behavior, and domain concepts into technical requirements, design options, integration patterns, modernization work items, and services aligned to business capabilities.
Ability to collaborate with architects, engineers, security, cloud, data, AI, vendor, and program teams; provide technical guidance; and support modernization decisions.
Must be legally authorized to work in the U.S. without sponsorship.
Must be willing to commute to the office on required days.

Responsibilities

Analyze legacy applications, source code, data flows, business rules, system dependencies, domain boundaries, bounded contexts, and technical debt; develop modernization assessments, target-state recommendations, and roadmaps.
Refactor, rewrite, configure, and implement modernized application components, business logic, interfaces, domain services, and APIs using domain-driven design, secure design practices, approved standards, and modern application frameworks.
Use approved AI-assisted engineering tools where appropriate in modernization work.
Troubleshoot, test, and stabilize modernized applications, code libraries, integrations, and runtime environments; resolve defects, performance issues, and service issues and validate functional, security, and operational requirements.
Prepare modernization documentation, domain models, current-state and target-state architecture mappings, technical flowcharts, AI-assisted analysis findings, and implementation guidance.
Consult and collaborate with architecture, engineering, security, cloud, data, AI, vendor, and program teams to align modernization work with enterprise standards and business needs.
Support modernization governance, including domain-driven design, secure coding, DevSecOps, responsible AI-assisted development, cloud readiness, quality standards, reusable patterns, and compliance with agency technology and architecture standards.
Perform other duties as assigned.