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Backend Development That Scales

A senior backend engineer who builds scalable APIs and microservices for production. Node.js, TypeScript, Python on AWS. Production-ready in 30-90 days.

Fixed Price

Agreed in writing before work starts

Senior Only

8+ years backend experience

Modern Stack

Node.js, TypeScript, Python, AWS

What I Build in 30-90 Days

Production-grade backend systems designed for reliability and performance at scale.

High-Performance APIs

  • REST & GraphQL with OpenAPI documentation
  • Auto-scaling handles traffic spikes
  • Caching strategies for performance
  • Rate limiting & security built-in

Scalable Microservices

  • Event-driven for loose coupling
  • Serverless & containerized deployment
  • Message queues for reliability
  • Database per service pattern

Enterprise Security

  • OAuth 2.0 & JWT authentication
  • Data encryption at rest and transit
  • Audit logging for compliance
  • Vulnerability scanning & patches

Everything production-ready · Operated, not just delivered · Built for billions of events a year

Start Your Backend Now

What I Commit To

Only what I can point at.

Commitment 1

Scope or Refund

Fixed price in writing. If I don't deliver what we agreed, you don't pay, and you keep the code. The first working component ships early, not at the end.

Commitment 2

Built to be operated

Dead-letter queues, a transactional outbox, and alerting defined in code rather than clicked into a console. I do not publish an uptime number I have not measured on your system, and I will not sell an SLA there is no contract behind.

Why I can say that:

Embedded in one production estate since 2022 · 97% of my work in repositories I do not own

Battle-Tested at Scale

Backends I have built handle billions of events a year.

100x
Throttling cut

Reduction in DynamoDB throttling at peak on a ticketing platform

45min to 5
Deploy time

Across 40+ brands and 4 AWS regions, after automating the pipeline

Ready for a Backend That Actually Scales?

Get a production-ready backend system built by a senior engineer who has been on call for one since 2022.

Get the free 48-hour AWS diagnostic
Backend Capabilities

Backend DevelopmentCore Strengths

I design modular, observable systems that scale. From architecture to monitoring — every layer built for production reliability.

MODULE 01
ARCHITECTURE

Event-Driven Architecture

Loosely coupled microservices with message queues and event streams for horizontal scalability

Kafka/SQSEventBridgePub/Sub
MODULE 02
ENDPOINTS

API Design & Development

RESTful and GraphQL APIs with OpenAPI documentation, built to be cached and paginated

RESTGraphQLgRPC
MODULE 03
DATA

Database Optimization

Schema design, query optimization, indexing strategies, and replication for high throughput

PostgreSQLMongoDBRedis
MODULE 04
SECURITY

Security & Compliance

OAuth 2.0, JWT tokens, encryption at rest and transit, audit logging for SOC2/HIPAA

OAuth 2.0JWTEncryption
MODULE 05
INFRA

Cloud Infrastructure

AWS serverless and containerized deployments with auto-scaling and IaC with Terraform/CDK

LambdaECS/EKSTerraform
MODULE 06
OBSERVABILITY

Performance Monitoring

Real-time observability with DataDog, distributed tracing, SLOs, and automated alerting

DataDogTracingSLOs
backend-metrics.json
ALL SYSTEMS OPERATIONAL

Why Hire Me for Your Backend?

50
Services in Production
1,441
Commits Shipped
2022
Embedded Since

One client's production codebase. Self-measured 2026-08-21 from a private repository, so dated and self-reported.

Ready to build a scalable backend with a senior engineer?

HOW I DELIVER THIS FAST

A Senior Engineer + AI-Powered Workflows

You might wonder how a 30-day sprint works without cutting corners. I don't write every line by hand. The work runs through AI-powered workflows with automated quality gates.

This isn't "AI-generated code" thrown over the fence. It's senior judgment amplified by AI execution speed. Every commit has human oversight. Every architecture decision is made by an engineer with 8+ years of experience.

What Stays Human
  • Architecture decisions
  • Code review & QA
  • Client communication
  • Security considerations
What AI Accelerates
  • Boilerplate generation
  • Test coverage expansion
  • Documentation
  • Repetitive implementations
3,148
Commits
3
Reverts

What this methodology actually produced: 3 reverts in 3,148 commits, with 38 specs committed alongside the code. Self-measured 2026-08-21 from private repositories.

Let's talk about what you're building.

Start with a free 48-hour AWS diagnostic. I review your setup, find the bottlenecks, and walk you through a prioritized 30-day plan.

Free 48-Hour AWS Diagnostic

Complete infrastructure analysis

Prioritized Plan

30-day implementation plan

Expert Insights

Senior engineer recommendations

I reply within one business day. No spam. You talk to the engineer who writes the code.

No Obligation
48-Hour Delivery
Expert Analysis
1,441 commits across 50 services in one client's production codebase. Self-measured 2026-08-21.