A cloud-native, event-driven microservices architecture for end-to-end loan origination, risk management, approval, and repayment lifecycle management — delivered by a single senior full-stack developer across 10 focused days.
Client Organization
Senior Full-Stack Developer
May 2026
Agile / Scrum
01 — Executive Summary
A Unified, Decoupled Loan Platform
We propose an event-driven microservices platform that decomposes the full loan lifecycle — from customer onboarding to final repayment — into 11 independently deployable, independently scalable backend services communicating over an async message bus, built and delivered by a single senior full-stack developer.
🧩
11
Microservices
📅
10
Days to MVP
⚡
2
Sprint Cycles
🔄
99.9%
Target Uptime SLA
📌 Problem Statement
Traditional monolithic loan platforms suffer from deployment bottlenecks, team coupling, and inability to scale individual stages independently. As loan volume grows, the KYC review, risk management, and repayment services often experience uneven load — demanding isolated scalability that monoliths cannot provide.
✅ Proposed Solution
A fully decomposed microservices architecture aligned 1:1 with each stage of the loan flowchart — each service owning its database, its domain logic, and its REST API surface. Services communicate asynchronously via Kafka events, with a central API Gateway handling routing, auth, and rate limiting. No frontend is in scope — all services expose clean REST APIs consumable by any client.
02 — System Architecture
Event-Driven Service Mesh
All services are independently deployed as Docker containers orchestrated via Kubernetes. Communication uses REST for synchronous queries and Apache Kafka for all state-transition events.
API Consumers (Client-side — out of scope, APIs provided for integration)
🔌Partner API
🧪Postman / API Tests
HTTPS / TLS 1.3
Gateway & Cross-Cutting
🚦API Gateway Auth · Rate Limit · Routing
🔐Auth Service JWT · OAuth2 · RBAC
📊Observability Prometheus · Grafana · Jaeger
🗂️Config Service Consul · Vault Secrets
REST + Kafka Events
Core Domain Microservices
👤Customer
📋Application
📁Document
🔍KYC Review
📈Risk Mgmt
💬Discussion
✅Approval
📝Agreement
🏦Activation
💳Repayment
🔔Notification
Apache Kafka — Message Bus
Data Layer — Each Service Owns Its Database (Database-per-Service Pattern)
🐘PostgreSQL Transactional Data
🍃MongoDB Documents · KYC Data
🔴Redis Sessions · Cache
☁️S3 / MinIO File Storage
🔎Elasticsearch Search · Audit Logs
Figure 1 — High-level system architecture. Each domain microservice has its own isolated data store (Database-per-Service pattern) and communicates state changes via Kafka topics.
03 — Microservices Breakdown
11 Domain Services
Each service maps directly to a stage in the loan lifecycle flowchart. Click any service card to expand its full specification.
👤
Customer Service
Port 8001 · Stage: Input
Manages customer registration, login, profile management, and KYC data collection. Entry point for all new borrowers.
Activates the loan account upon agreement signing, creates the repayment schedule, and initiates disbursement workflows.
POST /activation/triggerGET /activation/schedule/:idGET /activation/account/:idPOST /activation/disburse
Technology Stack
Java / Spring BootPostgreSQLKafka Producer/Consumer
Schedule Engine
Amortization schedule calculation (EMI)
Principal + interest breakdown per instalment
Flexible repayment frequency support
Events Published
loan.activated
repayment.schedule.created
disbursement.initiated
💳
Repayment Service
Port 8010 · Stage: Repayment
Processes customer payments, verifies payment proof, tracks outstanding balance, detects overdue instalments, and manages loan closure upon full repayment.
POST /paymentsPOST /payments/proofGET /payments/historyGET /payments/outstanding
Technology Stack
Java / Spring BootPostgreSQLRedis (Balance Cache)Kafka Producer/Consumer
Payment Flow
Customer makes payment → uploads proof
Verification against expected EMI
If fully repaid → trigger loan.completed
If partial → continue repayment loop
Events Published
payment.received
payment.verified
payment.overdue
loan.fully.repaid
🔔
Notification Service
Port 8011 · Cross-Cutting
Consumes events from all services and delivers multi-channel notifications — email, SMS, push, and in-app — for every status change in the loan lifecycle.
GET /notifications/inboxPUT /notifications/readPOST /notifications/preferencesGET /notifications/history
Deliverables are organized into two 5-day sprints, all owned by a single senior full-stack developer. Each sprint ends with a working API demo, Postman collection handover, and acceptance criteria sign-off.
All APIs conform to REST conventions, use JSON payloads, are versioned under /api/v1/, and are secured with Bearer JWT tokens via the API Gateway.
Method
Endpoint
Service
Description
Auth
POST
/api/v1/customers/register
Customer
Register new customer account
Public
POST
/api/v1/auth/login
Auth
Authenticate, returns JWT + refresh token
Public
GET
/api/v1/customers/{id}/profile
Customer
Fetch customer profile & KYC status
Bearer
PUT
/api/v1/customers/{id}/kyc
Customer
Submit / update KYC details
Bearer
POST
/api/v1/applications
Application
Create new loan application
Bearer
GET
/api/v1/applications/{id}
Application
Get application + current stage
Bearer
GET
/api/v1/applications/{id}/timeline
Application
Full audit trail / stage history
Bearer
POST
/api/v1/documents/upload
Document
Multipart upload of required docs
Bearer
GET
/api/v1/documents/{appId}/list
Document
List all documents for application
Bearer
DELETE
/api/v1/documents/{docId}
Document
Remove uploaded document
Bearer
Method
Endpoint
Service
Description
Auth
GET
/api/v1/kyc/queue
KYC Review
Get pending KYC review queue (officer view)
OFFICER
POST
/api/v1/kyc/{appId}/assign
KYC Review
Assign application to KYC officer
MANAGER
PUT
/api/v1/kyc/{appId}/verify
KYC Review
Submit verification checklist results
OFFICER
POST
/api/v1/kyc/{appId}/decision
KYC Review
Approve or reject (with reason)
MANAGER
POST
/api/v1/risk/{appId}/assess
Risk Mgmt
Trigger risk assessment computation
SYSTEM
GET
/api/v1/risk/{appId}/report
Risk Mgmt
Retrieve full risk assessment report
OFFICER
POST
/api/v1/risk/{appId}/decision
Risk Mgmt
Risk team approve/reject for discussion
RISK_MGR
POST
/api/v1/discussion/{appId}/offer
Discussion
Send loan offer to customer
OFFICER
POST
/api/v1/discussion/{appId}/accept
Discussion
Customer accepts the offer
Bearer
POST
/api/v1/discussion/{appId}/decline
Discussion
Customer declines — triggers CLOSE
Bearer
POST
/api/v1/approval/{appId}/internal
Approval
Internal level approval action
INTERNAL
POST
/api/v1/approval/{appId}/management
Approval
Management level approval action
MANAGER
POST
/api/v1/approval/{appId}/final
Approval
Credit committee final decision
CREDIT_HEAD
Method
Endpoint
Service
Description
Auth
POST
/api/v1/agreement/{appId}/generate
Agreement
Auto-generate loan agreement PDF
SYSTEM
POST
/api/v1/agreement/{appId}/esign
Agreement
Initiate e-sign workflow
Bearer
POST
/api/v1/agreement/{appId}/upload
Agreement
Upload manually signed copy
Bearer
POST
/api/v1/activation/{appId}/trigger
Activation
Activate loan account post-signing
SYSTEM
GET
/api/v1/activation/{loanId}/schedule
Activation
Get full EMI repayment schedule
Bearer
GET
/api/v1/activation/{loanId}/account
Activation
Get loan account details & balance
Bearer
POST
/api/v1/payments
Repayment
Record a payment transaction
Bearer
POST
/api/v1/payments/{payId}/proof
Repayment
Upload payment proof (receipt)
Bearer
GET
/api/v1/payments/{loanId}/history
Repayment
Full payment history for loan
Bearer
GET
/api/v1/payments/{loanId}/outstanding
Repayment
Remaining balance + next EMI due
Bearer
POST
/api/v1/loans/{loanId}/close
Repayment
Close loan account on full repayment
SYSTEM
Method
Endpoint
Service
Description
Auth
GET
/api/v1/notifications/inbox
Notification
Get user notification inbox
Bearer
PATCH
/api/v1/notifications/{id}/read
Notification
Mark notification as read
Bearer
PUT
/api/v1/notifications/preferences
Notification
Update channel preferences
Bearer
POST
/api/v1/auth/refresh
Auth
Refresh JWT access token
Refresh Token
POST
/api/v1/auth/logout
Auth
Invalidate session tokens
Bearer
GET
/health/{service}
All
Health check endpoint (Kubernetes liveness)
Internal
GET
/metrics
All
Prometheus metrics scrape endpoint
Internal
GET
/api/v1/admin/loans
Application
Admin: list all loans with filters
ADMIN
GET
/api/v1/admin/reports/dashboard
Application
Admin: aggregate pipeline metrics (API response)
ADMIN
06 — Technology Stack
Modern, Battle-Tested Technologies
Backend Services
Java 21 + Spring Boot 3
Node.js 20 + Express
Python 3.12 + FastAPI
REST + OpenAPI 3.0
gRPC (internal calls)
Data Stores
PostgreSQL 16
MongoDB 7.0
Redis 7.2
Elasticsearch 8
MinIO (S3-compatible)
Messaging & Comms
Apache Kafka 3.7
SendGrid (Email)
Twilio (SMS)
Firebase FCM (Push)
WebSocket (Real-time)
Infrastructure
Docker + Kubernetes
Helm Charts
ArgoCD (GitOps)
GitHub Actions (CI)
Terraform (IaC)
Security
JWT + OAuth2 / OIDC
HashiCorp Vault
mTLS (service mesh)
Istio Service Mesh
OWASP ZAP (scanning)
Observability
Prometheus + Grafana
Jaeger (Tracing)
ELK Stack (Logging)
PagerDuty (Alerting)
k6 (Load Testing)
API Gateway
Kong Gateway
Rate Limiting
Circuit Breaker
SSL Termination
Request Logging
Docs & Testing
Swagger / OpenAPI 3.0
Postman Collections
Jest / JUnit
Testcontainers
k6 (Load Testing)
07 — Non-Functional Requirements
SLA, Performance & Quality Targets
⚡ Performance
API response times and system throughput targets under normal operating conditions.
P95 API Latency< 300ms
P99 API Latency< 800ms
Kafka Event Latency< 50ms
Concurrent Users1,000+
Applications/day10,000+
🛡️ Availability
Uptime SLA targets and disaster recovery objectives per service tier.
Platform Uptime99.9%
Critical Services99.95%
RTO (Recovery)< 30 min
RPO (Data Loss)< 5 min
Kafka ReplicationFactor 3
📈 Scalability
Horizontal scaling capabilities and auto-scaling thresholds per service.
Min Replicas2 per svc
Max Replicas10 per svc
HPA Trigger (CPU)70%
DB Connection Pool50 per pod
Kafka Partitions12 per topic
🔐 Security
Authentication, authorisation, and data protection compliance standards.
Auth ProtocolOAuth2 + JWT
Transport EncryptionTLS 1.3
At-rest EncryptionAES-256
Secrets ManagementVault
OWASP ComplianceTop 10
🧪 Quality
Code quality gates, testing coverage, and deployment pipeline standards.
Unit Test Coverage≥ 80%
Integration TestsFull E2E
Code ReviewMandatory PR
Static AnalysisSonarQube
Zero-downtime DeployBlue/Green
📋 Compliance
Regulatory and data governance requirements for a financial services platform.
Data ResidencyConfigurable
Audit LoggingAll mutations
PII MaskingIn all logs
GDPR ReadyRight to erase
Log Retention7 years
08 — Risk Register
Identified Risks & Mitigations
#
Risk
Category
Likelihood
Impact
Mitigation
R1
Kafka service mesh latency under peak load degrades real-time UX
Technical
Medium
High
Partition tuning, consumer group scaling, dead-letter queues, circuit breakers
R2
Scope creep from undefined KYC compliance rules mid-sprint
Scope
High
Medium
Freeze compliance rules before Sprint 1; formal change request process; buffer in Sprint 2
R3
Third-party e-sign API integration delays Agreement Service
Integration
Medium
Medium
Mock e-sign service in Sprint 1; real integration in Sprint 2; manual upload fallback built-in
R4
Database-per-service data consistency challenges (saga pattern)
Technical
Medium
High
Choreography-based sagas with compensating transactions; idempotent event consumers
R5
Developer unavailability or illness during 10-day engagement
Resource
Low
High
Documented service contracts and progress commits from Day 1; daily async updates to client; timeline buffer built into Sprint 2
R6
Kubernetes cluster misconfiguration causing service instability
Infrastructure
Low
Medium
IaC with Terraform + Helm; staging environment mirrors prod; automated health checks
R7
Security vulnerabilities in JWT implementation (token leakage)
Security
Low
High
Short-lived access tokens (15 min), refresh rotation, OWASP scan in CI, Vault for secrets
09 — Delivery Team
Solo Expert Delivery
This engagement is delivered by a single senior full-stack developer — owning all 11 backend services end-to-end, from architecture and implementation to testing and deployment.
🧑💻
Solo Delivery
Senior Full-Stack Developer
Node.jsJava / Spring BootPostgreSQLMongoDBKafkaRedisDockerKubernetesCI/CDREST APIsMicroservices