Sr Manager, Software Engineering
Key Responsibilities
- Analyze existing custom applications, integrations, and legacy codebases.
- Create application inventories and dependency maps.
- Identify opportunities to consolidate redundant applications, eliminate debt, reduce maintenance costs, and improve scalability.
- Develop modernization roadmaps and migration strategies.
AI-Assisted Software Engineering
- Leverage AI-assisted development platforms such as: Codex, Gemini Code Assist, GitHub Copilot, Microsoft Copilot, Claude Code, Cursor.
- Use AI tools to reverse-engineer legacy applications, generate technical documentation, accelerate code refactoring, create test cases and automation.
- Improve code quality, increase developer productivity.
Application Modernization
- Refactor monolithic legacy applications into modern architectures.
- Design and build cloud-native applications, API first services, event-driven architectures, microservices where appropriate, and modernize user experiences using contemporary web and mobile frameworks.
- Implement reusable development patterns and engineering standards.
Architecture & Engineering Excellence
- Establish engineering best practices including: DevSecOps, CI/CD pipelines, automated testing, code quality controls, security by design.
- Ensure solutions meet enterprise architecture standards.
- Collaborate with cybersecurity, infrastructure, and business teams.
Documentation & Knowledge Management
- Create architecture diagrams and technical documentation.
- Document legacy-to-target-state transformation plans.
- Build reusable engineering assets, accelerators, and coding standards.
We are seeking a highly capable and hands-on Senior Software Engineer to lead the modernization and simplification of our custom application landscape. This role will be responsible for analyzing legacy applications, identifying opportunities for consolidation and rationalization, and rebuilding critical business applications using modern cloud-native architectures, development frameworks, and AI-powered software engineering tools.
The ideal candidate combines deep software engineering expertise with proficiency in emerging AI-assisted development platforms such as: Codex, Gemini Code Assist, GitHub Copilot, Microsoft Copilot, Claude Code, Cursor, and similar tools to dramatically accelerate code analysis, documentation, refactoring, testing, and application redevelopment.
This is a transformational role focused on reducing technical debt, improving maintainability, increasing development velocity, and simplifying the enterprise application portfolio.
Key responsibilities:
- Analyze existing custom applications, integrations, and legacy codebases.
- Create application inventories and dependency maps.
- Identify opportunities to consolidate redundant applications, eliminate debt, reduce maintenance costs, and improve scalability.
- Develop modernization roadmaps and migration strategies.
AI-Assisted Software Engineering:
- Leverage AI-assisted development platforms such as: Codex, Gemini Code Assist, GitHub Copilot, Microsoft Copilot, Claude Code, Cursor.
- Use AI tools to reverse-engineer legacy applications, generate technical documentation, accelerate code refactoring, create test cases and automation.
- Improve code quality, increase developer productivity.
Application Modernization:
- Refactor monolithic legacy applications into modern architectures.
- Design and build cloud-native applications, API first services, event-driven architectures, microservices where appropriate, and modernize user experiences using contemporary web and mobile frameworks.
- Implement reusable development patterns and engineering standards.
Architecture & Engineering Excellence:
- Establish engineering best practices including: DevSecOps, CI/CD pipelines, automated testing, code quality controls, security by design.
- Ensure solutions meet enterprise architecture standards.
- Collaborate with cybersecurity, infrastructure, and business teams.
Documentation & Knowledge Management:
- Create architecture diagrams and technical documentation.
- Document legacy-to-target-state transformation plans.
- Build reusable engineering assets, accelerators, and coding standards.
We are an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law.