Senior Application Architect Migration & Modernization

Ideal Candidate Profile

• 15+ years in enterprise technology, with a development / solutioning experience.
• 8 12 years of experience in application architecture with a clear, demonstrated specialization in application portfolio assessment, migration strategy, and modernization roadmap development at enterprise scale
• Proven experience leading application assessment engagements for large enterprise clients with portfolios of 50 1000+ applications across heterogeneous technology landscapes
• Deep expertise in R-Treatment decision frameworks ability to independently assess, classify, and prescribe modernization treatment for diverse application types with clear, defensible rationale
• Strong understanding of application placement strategy across containerization, serverless, re-platform, and rearchitect patterns with ability to articulate trade-offs at both technical and business levels
• Hands-on knowledge of application discovery and assessment tooling such as MGN, CAST, Dynatrace, App Dynamics, SonarQube, Veracode and AWS X-Ray
• Strong understanding of cloud-native architecture patterns: microservices, containers (Docker/Kubernetes/OpenShift), serverless (Lambda, API Gateway), event-driven design, and API-first principles sufficient to assess application fitness for each pattern and design the target architecture
• Experience with DevSecOps toolchains (Jenkins, GitHub Actions, ADO, Terraform, CloudFormation) and ability to define DevSecOps enablement as part of migration roadmaps
• Strong business case development skills ability to construct TCO models, ROI analyses, and modernization investment justifications for executive audiences
• Excellent written communication and presentation skills able to produce and present board-quality assessment reports, portfolio heat maps, and roadmap decks
• Proven ability to operate in onsite-offshore engagement models with direct CxO and technical stakeholder engagement
• Prior consulting or pre-sales solutioning experience is strongly preferred