Open for high-stakes SaaS backend work

Most SaaS backends fail at scale long before product-market fit fails.

I help founders and CTOs remove the architecture bottlenecks that kill momentum: fragile APIs, slow data layers, and deploy pipelines that turn growth into incidents.

Common failure pattern

  • Query latency spikes after growth
  • Background workers silently back up
  • Deployments break billing and tenant isolation

How I fix it

  • Architecture shaped around failure boundaries
  • Operational telemetry that catches incidents early
  • Delivery model that keeps velocity while de-risking scale

Authority snapshot

8+

Years shipping backend systems

50+

SaaS products delivered

$50M+

Platform revenue supported

Focus: SaaS backend architecture, multi-tenant systems, performance engineering

Featured work

Companies I've partnered with

VRR Parking

Smart mobility, $2M+ revenue

LinkDoctor

SEO automation, 40% churn reduction

Financial SaaS

FinTech, SOC2 compliant, $50M transactions

8+

Years experience

50+

SaaS projects

99.95%

Avg uptime

$50M+

Revenue managed

Case studies

Backend transformations with measurable business impact

Not feature shipping for its own sake. Each engagement solved an operational risk that was blocking growth.

Problem

A parking management startup needed a real-time system to manage parking spots, reservations, and payments across multiple cities. They required a scalable backend that could handle thousands of concurrent users, real-time updates, and integrated payment processing.

Intervention

Designed and built a microservices-based backend using Laravel and Node.js with Redis for real-time data sync. Implemented a payment gateway integration with Stripe, real-time WebSocket updates for spot availability, and a robust admin dashboard for operations.

Outcome

System scaled to manage 50,000+ parking spots across 5 cities with 99.9% uptime. Reduced payment processing time from 30s to 3s. Processed $2M+ in transactions in first year.

Uptime

99.9%

Before: 85%

Cities

5

Before: 1

Transaction Volume

$2M+

Before: $0

Concurrent Users

10K+

Before: 1K

Business outcome

Enabled the startup to scale operations and raise Series A funding ($5M)

Stack used

LaravelNode.jsRedisPostgreSQLAWSStripe APIDockerKubernetes

Architecture breakdown

Backend system design for VRR Parking

Ingress

API Gateway, Rate Limits

Services

Core Domain + Workers

LaravelNode.js

Data

Primary DB + Cache

PostgreSQLRedis

Operations

Queueing, Logs, Alerts

Design intent

Microservices architecture with Laravel for business logic, Node.js workers for real-time updates, PostgreSQL for persistent data, and Redis for session management and real-time spot availability caching. Stripe webhook handlers for payment processing.

Non-negotiables

  • Strong tenant isolation and predictable data ownership
  • Fast-path caching for high-frequency reads
  • Operational visibility with actionable alerts and rollback options

Tough constraints solved

Real-time spot availability sync across multiple servers

Implemented Redis pub/sub for instant updates across all connected clients

Payment processing reliability at high volume

Built idempotent payment handler with comprehensive logging and reconciliation

Scaling database under concurrent load

Read replicas and query optimization, with caching layer for frequently accessed data

High-leverage decisions

Microservices vs Monolith

Monolith would have made real-time updates and payment processing difficult; microservices allowed independent scaling

Redis for real-time data

PostgreSQL alone couldn't achieve sub-second updates; Redis provided the speed needed for spot availability

Services

What I do

Specialized expertise in backend architecture, infrastructure, and automation systems.

πŸ—οΈ

SaaS Backend Architecture

Design and build production-grade backend systems for SaaS platforms. Multi-tenant architecture, API design, database optimization, and secure integrations.

Key Benefits

  • βœ“Multi-tenant data isolation
  • βœ“RESTful & GraphQL APIs
  • βœ“Payment gateway integration
  • βœ“Role-based access control

Best for

Startups raising Series A/B or scaling to $1M+ ARR

☁️

Cloud Infrastructure & DevOps

Deploy, scale, and monitor your SaaS on AWS. CI/CD pipelines, containerization, security hardening, cost optimization, and zero-downtime deployments.

Key Benefits

  • βœ“AWS infrastructure setup
  • βœ“CI/CD pipeline automation
  • βœ“Docker & Kubernetes orchestration
  • βœ“SSL/TLS security

Best for

Teams wanting DevOps handled so engineers focus on product

βš™οΈ

Automation & Integration Systems

Build custom automation layers, webhook systems, and business workflows. Connect your tools, sync data across platforms, and eliminate manual work.

Key Benefits

  • βœ“Custom integration frameworks
  • βœ“Webhook management
  • βœ“Data synchronization
  • βœ“Scheduled job processing

Best for

Scaling operations without hiring; reducing manual work by 90%

Every project is unique. Let's discuss what you need and design the perfect solution.

Get in Touch

My approach

How I think about backend architecture

⚑

Reliability over cleverness

I optimize for systems that work 3am on a Sunday, not systems that impress in a demo. Boring databases, straightforward queries, monitoring that actually catches issues.

πŸ“Š

Measure before optimizing

Most performance problems aren't where you think they are. I profile, test, and measure. If you aren't bottlenecking on it, we don't spend time optimizing it. Yet.

πŸš€

Code that ships > perfect code

Architecture that solves today's problem is better than architecture that might solve tomorrow's problem. We refactor when the problem appears, not before.

πŸ“š

Knowledge should be shared

Code without documentation is a liability. I write systems your team can understand, maintain, and extend. Not systems only I can fix.

These principles probably resonate with you, or maybe they don't. Either way, let's talk about what your backend needs.

Start a conversation

Authority

How I think about SaaS and backend

The right backend strategy is not "best practice" in isolation. It is stage-aware, team-aware, and tied to customer outcomes. My architecture decisions are built to protect growth speed and system trust together.

Operating model

Product risk first

I optimize architecture around revenue and trust risk before technical elegance.

Latency is a UX feature

Backend response time is part of product experience, not an infrastructure afterthought.

Ship with observability

Every release includes telemetry, rollback paths, and actionable alarms.

Design for team handoff

Systems should be understandable and operable by your in-house team after go-live.

Architecture principles that survive real production pressure

These principles keep teams away from brittle complexity and toward reliable execution.

Battle-tested viewpoints

Short reads I use to align founders and engineering teams on practical tradeoffs.

Scaling Multi-Tenant SaaS8 min

From Monolith to Multi-Tenant: What Actually Matters

Moving to multi-tenant architecture isn't just about code changesβ€”it's a mental shift. This insight covers tenant isolation strategies, billing boundaries, and the hidden complexity nobody talks about.

  • Row-level security vs database-per-tenant trade-offs
  • Handling tenant-specific feature flags
  • Billing accuracy at scale
Backend Performance6 min

API Response Time: Where's Your Real Bottleneck?

Slow APIs aren't always about database queries. Learn how to identify whether your bottleneck is database, application logic, external APIs, or network.

  • Profiling strategies that actually reveal bottlenecks
  • Database query optimization vs caching hierarchy
  • When to use GraphQL vs REST for performance
DevOps & Infrastructure10 min

Zero-Downtime Deployments: Engineering Confidence

Blue-green deployments, canary releases, and database migrations that don't break production. Modern deployment strategies for SaaS platforms.

  • Database schema migrations without downtime
  • Traffic shifting and rollback strategies
  • Load testing before production traffic
Data Architecture7 min

Choosing Your Cache Strategy: Redis, Memcached, or Application Cache?

Caching is often the difference between a 100ms response and a 1s response. Understand when to use each caching layer and why.

  • Cache invalidation patterns
  • TTL tuning for your specific use case
  • Detecting cache that isn't actually helping

Decision framework

Use this map when you need to choose quickly without guessing.

How should I structure my backend?

Multi-tenant at day 1 or later?

How I work

A structured approach to backend architecture

1

Discovery & Strategy

1-2 weeks

Understand your SaaS vision, user base, scaling requirements, and business goals. Define architecture principles, tech stack, and timeline.

2

Architecture Design

2-3 weeks

Create detailed system architecture, database schemas, API specifications, and deployment strategy. Review with your team and finalize specs.

3

Core Development

4-8 weeks

Build foundation features: authentication, multi-tenancy, core APIs, database layer. Write tests, code reviews, and documentation throughout.

4

Testing & Optimization

2-3 weeks

Load testing, security audits, performance optimization, bug fixes. Ensure 99.9%+ uptime and handle your projected user load.

5

Deployment & Scaling

1-2 weeks

Deploy to production, monitor performance, handle scaling. Provide documentation and handoff to your team.

6

Ongoing Support

Ongoing

Optional retainer for bug fixes, optimization, new features, and scaling support as you grow.

10-18

weeks average

Discovery to production

Weekly

Updates & syncs

Full transparency

99.9%

Target uptime

Production-grade

Background

8+ years building SaaS backends

Why work with me

  • β†’Production-grade systems: 99.9%+ uptime by default. Monitoring, alerting, and disaster recovery built in from day one.
  • β†’Scale-focused: Systems designed to handle 10x growth without rewrites. Real-time sync, optimized databases, intelligent caching.
  • β†’Proven track record: 50+ SaaS projects, $50M+ in managed revenue. VRR Parking, LinkDoctor, and fintech startups.
  • β†’Security first: Row-level security, encryption, SOC2, GDPRβ€”part of the architecture, not an afterthought.

Core expertise

SaaS Architecture

  • β€’ Multi-tenant systems
  • β€’ Data isolation
  • β€’ Scalable APIs
  • β€’ Payment integration

Cloud Infrastructure

  • β€’ AWS setup & optimization
  • β€’ CI/CD pipelines
  • β€’ Docker & Kubernetes
  • β€’ Cost management

Real-time Systems

  • β€’ WebSocket implementation
  • β€’ Event-driven architecture
  • β€’ Message queues
  • β€’ Data streaming

Performance

  • β€’ Database optimization
  • β€’ Caching strategies
  • β€’ Load balancing
  • β€’ Monitoring & alerts

Technology stack

Backend

LaravelNode.jsPythonGolangGraphQLREST APIs

Database & cache

PostgreSQLMySQLRedisElasticsearchMongoDB

DevOps & cloud

AWSDockerKubernetesCI/CDTerraform

What clients say

Trusted by founders and CTOs

β˜…β˜…β˜…β˜…β˜…

"We had constant API slowdowns and flaky background jobs before working together. The new architecture brought stability immediately and gave our team confidence to ship faster."

Maya Patel

Product Lead at Northstar Analytics

β˜…β˜…β˜…β˜…β˜…

"Our migration to a multi-tenant backend was handled cleanly with almost no customer disruption. Performance improved, incidents dropped, and onboarding new accounts became much simpler."

Daniel Brooks

CTO at FlowPilot

β˜…β˜…β˜…β˜…β˜…

"The monitoring and deployment setup alone was worth it. We now catch issues before customers do, and releases that used to take hours are now routine."

Emily Nguyen

Founder at LedgerBloom

100%

5-star rated

50+

Happy clients

8+

Years experience