Job Description
(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
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
