SaaS EngineeringAWS Consulting

Building Vendorsify: end-to-end SaaS engineering.

A full-cycle engagement: architecting the platform, sourcing the engineering talent, and delivering a multi-region AWS infrastructure.

The Challenge

From B2B concept to production SaaS.

Vendorsify needed to transform a B2B concept into a production-ready, multi-tenant SaaS platform. The challenge was multifaceted:

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Full-Cycle Development

Executing the entire SDLC from wireframing to deployment without an existing technical team.

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Complex Data Modeling

Designing a database schema capable of handling diverse vendor workflows while ensuring strict tenant isolation.

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Scalable Ops

Provisioning a secure, auto-scaling AWS infrastructure from Day 1.

Scope of Work

UI/UX Design

Figma & Prototyping

Frontend Dev

React & Next.js

Backend & DB

Node.js & PostgreSQL

AWS Infra

Terraform & ECS

The Application

Vendor lifecycle management.

Vendorsify serves as a central hub for enterprise procurement teams, streamlining the chaotic process of onboarding, managing, and analyzing vendor relationships.

01. Compliance Tracking

Automated collection and expiry tracking of critical documents (SOC2, ISO, Insurance certificates).

02. Procurement Workflows

Customizable approval chains for new vendor requisitions and contract renewals.

03. Spend Analysis

Real-time dashboards visualizing spend across categories, flagging anomalous expenditures.

Core Engineering

Robust systems architecture.

From atomic design components in React to normalized SQL schemas in PostgreSQL, every layer was built for scalability.

Frontend

Next.js with SSR, using a strict design system for consistent UX across tenant portals.

Backend

Node.js microservices with Zod validation and a multi-tenant PostgreSQL schema.

DATA MODEL — SCHEMA PER TENANT

Tenant

idUUID (PK)

nameVARCHAR

schemaVARCHAR

sso_configJSONB

User

idUUID (PK)

tenant_idFK

emailVARCHAR

roleENUM

VendorProfile

idUUID (PK)

user_idFK (1:1)

compliance_statusENUM

docs_urlVARCHAR

Database Structure & Isolation

We implemented a Schema-per-Tenant strategy within PostgreSQL. This ensures that while all tenants share the same physical RDS instance (cost-efficient), their data lives in completely separate logical schemas (secure).

The User table acts as the global directory, routing authentication requests to the correct tenant context.

Infrastructure & DevOps

Enterprise-grade AWS stack.

A fully automated, secure, and resilient cloud architecture designed to support strict enterprise compliance.

AWS ARCHITECTURE V1.0

Enterprise Users

HTTPS

CloudFront

WAF + CDN

VPC PRIVATE SUBNET

ECS Cluster

Auto-Scaling

Lambda

Async Tasks

RDS Proxy

PostgreSQL

CI/CD Pipelines

GitHub Webhooks triggers

Staging: Auto-deploy on merge

Prod: Manual approval gate

Security First

AWS WAF (IP & Geo Blocking)

KMS Encryption (At-rest)

Secrets Manager for Creds

Data Management

Multi-AZ Failover

PITR (Point-in-time Recovery)

S3 Lifecycle Policies

Time-to-Market

Accelerated onboarding.

Onboarding Efficiency

Manual Setup (Weeks)14 wk

Automated (Minutes)1.5 min

99% improvement in tenant provisioning time via Infrastructure-as-Code.

Team Orchestration

Building the dream team.

Beyond code, we built the company. We sourced, screened, and integrated a dedicated specialist team, implementing Agile methodologies that maximized delivery velocity.

2 Weeks

Sourcing Time

High

Retention Rate

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