- Collaborate effectively within a lean team structure focused on core legacy application support, optimization, and modernization.
- Drive robust lift-and-shift strategies as well as meticulous deep-architectural refactoring initiatives for existing enterprise applications.
- Actively leverage AI-based development tools (e.g., GitHub Copilot) and up-to-date DevOps automation to significantly accelerate software delivery speed and enhance engineering standards.
- Perform detailed code analysis, proactive performance tuning, regression testing, and systemic stabilization of legacy software environments.
- Ensure absolute end-to-end ownership of development pipelines and tasks with minimal supervisor oversight.
- Align all newly developed modern features and components with the pre-existing tech stack structure and corporate architecture standards.
- Collaborate dynamically with cross-functional stakeholders to align engineering sprints with critical operational milestones and ensure smooth delivery.
performing technical debt evaluations, and executing migration patterns.
- Full-Stack Core Proficiency: Deep practical competence in at least one backend ecosystem and frontend ecosystem as applicable: Backend: Node.js, Java, or .NET Frontend: Angular or React
- Cloud & CI/CD Frameworks: Comprehensive deployment experience utilizing major cloud architectures (AWS or Azure) and establishing structured automation pipelines (Jenkins, GitHub Actions, etc.).
- AI & Automation Tooling: Hands-on exposure to modern AI-assisted coding extensions, continuous testing applications, and progressive DevOps automation.
- Quality & Observability: Solid diagnostic knowledge utilizing code coverage analysis, structured logging, monitoring suites, and system-level debugging tools.
- Core Competencies: Superior standalone problem-solving capacity, clear professional communications skills, an autonomous work ethic, and a preference for in-office team collaboration
Skills:- Java, Angular (2+), Artificial Intelligence (AI) and Windows Azure