Application Architect

Key Responsibilities

• Lead the reverse engineering of legacy architectures and define target state architectures aligned with business objectives.
• Architect and design microservices-based, cloud-native applications leveraging Azure services.
• Define design patterns, standards, and reusable frameworks to accelerate modernization and ensure consistency.
• Apply automation, LLMs, and AI-powered tools for reverse engineering, refactoring, and modernization at scale.
• Collaborate with cross-functional teams (cloud, DevSecOps, data, full stack developers) to ensure cohesive solution delivery.
• Provide hands-on coding expertise in C#, .NET Core, Azure, and full-stack development to validate architecture through working prototypes and reference implementations.
• Ensure security, scalability, and performance considerations are embedded into all designs.
• Mentor engineering teams and evangelize modern design practices across the organization.
• Partner with stakeholders to align technical solutions with business and operational goals.

Required Skills & Experience

• 10+ years of experience in application architecture, design, and development.
• Proven expertise in microservices architecture, service design, and cloud-native applications.
• Strong hands-on experience with Microsoft Azure (App Services, AKS, Functions, Service Bus, Event Hub, API Management, etc.).
• Deep background in reverse engineering legacy applications and designing target-state solutions.
• Strong coding experience in C#, .NET Core, and full-stack development.
• Experience defining design patterns, reusable components, and architecture frameworks.
• Exposure to automation tools, AI, and LLM-powered solutions for modernization.
• Solid understanding of DevSecOps practices, CI/CD pipelines, and containerization (Docker/Kubernetes).
• Strong communication and leadership skills to collaborate with business and technical stakeholders.

Preferred Qualifications

• Experience in enterprise-scale modernization programs (financial services, logistics, manufacturing, or similar domains).
• Knowledge of data architecture and schema consolidation approaches.
• Familiarity with tools such as CAST, SonarQube, GitHub Copilot, or Azure AI/ML services.
• Prior experience working in agile, sprint-based environments.