We are looking for a hands-on Technical Lead to perform deep technical analysis of a set of applications. The role will focus on application-level discovery, source code analysis, data model assessment, integration mapping, and creation of technical assessment artifacts.
The role will leverage GitHub Copilot and AI-assisted software engineering techniques to accelerate understanding of existing applications and uncover technical, functional, and data-level consolidation prospects. The engagement includes assessing multiple corrosion management, inspection, integrity, analytics, and compliance applications as part of PETRONAS' application harmonization initiative.
The ideal candidate should have hands-on experience using GitHub Copilot and AI-assisted engineering techniques for application discovery, code analysis, architecture assessment, documentation generation, and modernization initiatives.
Key Responsibilities
Use GitHub Copilot to rapidly understand unfamiliar codebases and application architectures.
Perform repository-level discovery and identify:
Core business capabilities
Application modules
Service boundaries
Integration patterns
API contracts
Technical dependencies
Accelerate reverse engineering of legacy or poorly documented applications.
Generate and validate architecture documentation, sequence flows, and technical artifacts using AI-assisted analysis.
Analyze source code to identify:
Duplicate functionality
Reusable patterns
Technical debt
Refactoring opportunities
Consolidation candidates
Use Copilot to assist with:
Data model discovery
Entity relationship analysis
Business rules extraction
Data lineage identification
Integration mapping
Translate repository insights into architecture artifacts and harmonization recommendations.
Apply AI-assisted engineering techniques responsibly while validating findings through architectural review and technical judgment.