Solution / Modernization Architect (C++ Experience)

Dedicatted provides consulting and engineering services focused on Data, Generative AI, Cloud and DevOps. Their team of software architects and engineers— AWS, Azure, and GCP certified— leverages deep technical know-how to design and build enterprise-grade solutions. Recognized among the top 2% of AWS consulting partners, they partner with organizations to support their modernization and innovation efforts.

• 5+ years of experience in solution architecture, modernization architecture, or enterprise application transformation.
• Proven track record of designing complex modernization or migration solutions in enterprise environments.
• Strong understanding of legacy application modernization challenges, especially for large C++-based internal systems with long-lived business logic and significant technical debt.
• Strong understanding of modern Java-based architectures and target-state design principles for enterprise platforms.
• Experience in defining different modernization strategies.
• Ability to evaluate and communicate architecture trade-offs related to maintainability, performance, state handling, concurrency, interoperability, and operational complexity.

Nice to have:

• Direct experience with C++ to Java modernization or similar legacy-to-modern language/platform transformation programs.
• Familiarity with AI-assisted code transformation practices or tooling used in modernization initiatives.
• Experience with AWS or other cloud target environments used for platform modernization.
• Knowledge of Java, Cloud, and C#.

• Lead architecture and discovery phases for C++ platform modernization programs, covering application structure, dependencies, integration points, runtime behavior, and non-functional constraints.
• Assess existing internal C++ systems, including monolithic applications, shared libraries, internal frameworks, batch or background processes, service layers, interfaces, and platform dependencies.
• Define target-state architectures for modernization of legacy platforms, focusing on Java-based solutions, modular system design, service enablement, cloud readiness, and long-term maintainability.
• Design modernization strategies tailored to each platform, including incremental refactoring, modularization, service extraction, phased migration, partial rewrite, coexistence patterns, and strangler-style transformation.
• Evaluate and define the role of AI-assisted code transformation within the modernization approach.
• Define approaches for modernization of legacy business logic, internal APIs, service interfaces, integration flows, and platform components while preserving critical business behavior.
• Provide architectural guidance to engineering and delivery teams during implementation.

This role can start with part-time engagement on the pre-sale stage and transition into full-time long-term once the project begins.