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.

✅ 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
    → cloud-native (rehost, replatform, refactor)
  • Monolith
    → 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

✅ 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

✅ 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