Senior AWS Core Banking Transformation Engineer

Role Summary We are seeking a Senior AWS Engineer with deep expertise in core banking systems and transformation programs across lending, credit, deposits, and investment domains. This is a high-impact, client-facing, hands-on engineering role requiring the ability to: - Design and deliver cloud-native banking solutions on AWS - Build rapid prototypes and live demos for client engagements - Integrate AI and data capabilities into core banking platforms The ideal candidate combines strong engineering depth, banking domain expertise, and the ability to translate ideas into working solutions quickly. ✅ Key Responsibilities - Core Banking Transformation - Lead modernization of core banking systems, including: - Lending / loan origination and servicing - Credit decisioning systems - Payments, deposits, and investment platforms - Drive transformation approaches: - Legacy → cloud-native (rehost, replatform, refactor) - Monolith → microservices / event-driven architecture - Translate business requirements into scalable, secure, production-ready architectures - Client-Facing Demo & Prototyping (Critical Requirement) - Build end-to-end functional prototypes and demos on AWS to showcase solutions - Rapidly convert client use cases into: - Working applications - API-driven services - AI/data-driven proof-of-value solutions - Lead: - Solution workshops - Pre-sales discussions - Live demo sessions with business and technology stakeholders ✅ Expected capability: Build a working demo (e.g., AI-powered credit workflow or customer 360 solution) within short timelines - AWS Cloud Engineering (Hands-on Senior Level) Architecture & Design - Design cloud-native banking architectures using: - Microservices and event-driven patterns - API-first integration models - Ensure: - High availability, scalability, and resiliency - Security and regulatory compliance Core AWS Stack - Compute: Lambda, ECS/EKS, EC2 - Data: S3, Aurora/RDS, DynamoDB - Integration: API Gateway, Step Functions, EventBridge - Observability: CloudWatch and monitoring frameworks DevOps & Automation - Infrastructure-as-Code (Terraform / CloudFormation / CDK) - CI/CD pipelines and automated deployment - Ability to stand up environments quickly for demos and delivery - AI & Data Capabilities in Banking (Strong Preference) Data Engineering - Build and manage: - Data lakes (S3-based architectures) - ETL / ELT pipelines - Work with banking data: - Customer, transaction, credit, and risk datasets Machine Learning & Analytics - Develop or integrate models for: - Credit scoring and underwriting - Fraud detection / AML - Customer segmentation and personalization GenAI & Modern AI - Implement: - RAG-based solutions (e.g., document processing, KYC) - AI assistants for banking users - Experience with: - AWS Bedrock / SageMaker / equivalent - LLM orchestration and vector search Real-Time Decisioning - Build event-driven pipelines supporting: - Real-time credit approvals - Fraud detection and alerts - Client Engagement & Thought Leadership - Act as a trusted technical advisor to financial services clients - Lead: - Architecture discussions - Solution design workshops - Pre-sales and technical solutioning - Communicate the value of: - Core banking modernization - Cloud + AI transformation - Bridge business, data, and technology stakeholders effectively ✅ Required Qualifications - 8–15+ years experience in: - Banking technology / financial services IT - Core banking systems (lending, payments, deposits, investments) - Proven experience delivering: - Core banking modernization or migration programs - Large-scale transformation initiatives - Strong hands-on AWS experience: - Cloud-native architecture and development - Microservices / distributed systems - Strong hands-on programming experience in Python (preferred), with the ability to build cloud-native applications, data pipelines, and rapid client-facing prototypes - Demonstrated ability to: - Build working demos / PoCs under time pressure - Operate effectively in client-facing roles ✅ Preferred Qualifications - Experience with core banking platforms: - Temenos, Mambu, Finacle, FLEXCUBE, nCino - Proven AI / Data experience in banking: - Data engineering and analytics platforms - ML / GenAI use cases integrated into business workflows - Experience with: - Event-driven architecture - API-first ecosystems - Domain-driven design (DDD) - AWS Certifications (Associate / Professional) ✅ Profile We Are Targeting - Hands-on builder (not a pure architect or program manager) - Able to design, build, and demo solutions live to clients - Strong banking domain credibility - Bridges cloud + core banking + AI/data - Comfortable in pre-sales + delivery hybrid environments