AWS Modernization Specialist_SA & M Role_AWS, Modernization Expertise

Role & responsibilities:

Key Responsibilities

• Lead legacy framework and platform modernization assessments and strategy definition.
• Architect microservices solutions for complex monolith decomposition at enterprise scale using domain-driven design (DDD) and bounded contexts.
• Drive monolith to microservices and database decomposition programs using strangler fig, branch-by-abstraction, and parallel run patterns.
• Lead REST/API development on Lambda and API Gateway with SAM; design GraphQL APIs with AppSync where appropriate.
• Design enterprise-scale event-driven architectures using EventBridge (event buses, rules, scheduling), Step Functions (standard and express workflows), SQS/SNS, and Kinesis for streaming.
• Implement service mesh patterns using AWS App Mesh for inter-service communication monitoring and control.
• Configure service discovery using AWS Cloud Map for dynamic microservice endpoint management.
• Define database modernization strategies and govern schema decomposition; leverage DMS and SCT for data migration.
• Establish modernization frameworks, patterns, and standards.
• Lead and mentor modernization teams, driving technical excellence.
• Implement observability for modernized microservices using CloudWatch, X-Ray (end-to-end tracing), and CloudWatch Container Insights.
• Collaborate with business stakeholders to prioritize modernization roadmaps.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 6+ years of experience in software engineering.
• 5+ years of hands-on AWS experience in modernization or transformation.
• Deep expertise in microservices architecture, domain-driven design, and bounded context decomposition.
• Proven experience leading monolith decomposition and database separation programs.
• Extensive backend development experience with Java, Python, Node.js, or equivalent.
• Deep experience with REST/API development on Lambda, API Gateway, and SAM.
• Extensive experience with event-driven architectures (EventBridge, Step Functions, SQS/SNS, Kinesis).
• Strong proficiency with containerization and orchestration (Docker, Kubernetes, ECS/EKS, Fargate).
• Experience with service mesh (App Mesh) and service discovery (Cloud Map).
• Experience with database modernization, DMS (AI-assisted schema conversion), and SCT.
• Excellent communication, leadership, and stakeholder management skills.
• Knowledge of Agile Methodology and Practices.
• Strong understanding of application security and cloud governance.

Nice to Have

• AWS Professional or Specialty certifications.
• Experience with AI tools in development lifecycles (GitHub CoPilot, Cursor, Amazon Q Developer) and brought in efficiencies.
• DevOps experience (CI/CD pipelines using CodePipeline, GitHub Actions, Jenkins).
• Experience with AWS Application Discovery Service and Migration Hub.