Senior AWS Core Banking Transformation Engineer
(Client-Facing | Demo Engineering | AI & Data)
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.
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Key Responsibilities
1. 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 ā cloud-native (rehost, replatform, refactor)
- Monolith ā microservices / event-driven architecture
- Translate business requirements into scalable, secure, production-ready architectures
2. 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
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Expected capability: Build a working demo (e.g., AI-powered credit workflow or customer 360 solution) within short timelines
3. 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
4. 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
5. 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
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Required Qualifications
- 8ā15+ 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
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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)
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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