These rarely fix themselves. They get more expensive with every new user.
Pages and API calls that were instant a year ago now take seconds.
A campaign, a launch or a big customer onboarding takes the system down.
Reports disagree with each other, and someone fixes records by hand.
Front-end and mobile teams wait on back-end changes nobody else can make.
The current server wasn't designed for new clients, workloads or data flows.
Servers were set up by hand and nothing is written down or reproducible.
NestJS and Express services in TypeScript for APIs, real-time features and integrations.
Django and FastAPI services, especially where data processing or machine learning is involved.
PostgreSQL, MySQL and MongoDB schemas, indexes, queries and migrations that hold up as data grows.
REST APIs and webhooks that your front ends, mobile apps and partners can build on.
RabbitMQ, scheduled tasks and AWS Lambda for imports, notifications and heavy processing.
Environments on AWS designed for your load and budget, with Docker and Kubernetes where they help.
Automated builds, tests and deploys with GitHub Actions or CircleCI, and infrastructure scripted with Ansible.
Profiling, caching, monitoring and alerts that catch problems before your users do.
There's no single correct stack. We pick based on your product, your team and the engineers you'll hire next.
One language across front end and back end
Strong fit for APIs and real-time features
NestJS for structure in larger codebases
Wide pool of engineers to hire later
Natural choice for data-heavy products
Direct access to ML libraries like TensorFlow
Django for admin-rich business apps
FastAPI for fast, typed APIs
PostgreSQL for most transactional products
MySQL where your existing systems use it
MongoDB for flexible, document-shaped data
Backups and migrations planned from day one
Managed services where they save effort
Containers with Docker, Kubernetes when scale needs it
Lambda for event-driven and bursty work
Costs reviewed as usage changes
Mature, well-supported tools that your future in-house engineers will already know.
Node.js
NestJS
Express
TypeScript
Python
Django
FastAPI
PostgreSQL
MySQL
MongoDB
RabbitMQ
AWS
AWS Lambda
Docker
Kubernetes
NGINX
GitHub Actions
AnsibleYour MVP back end got you to traction. Now it needs to handle real load, real data and more developers.
You need extra back-end capacity or a specialist for databases, infrastructure or performance.
Your business runs on a system that must stay up, and you want someone accountable for it.
You own the client and the interface, and need a dependable back-end partner behind it.
Architecture, data model and first services.
Find the bottlenecks and remove them.
Or clean up the AWS setup you have.
CI/CD, environments and rollbacks.
Queues, caching and load testing.
Engineers inside your existing team.
We look at your users, data volumes, integrations and growth plans, or measure the system you already run.
Service boundaries, data model, infrastructure and deployment approach, documented and reviewed with your team.
Features delivered in sprints, with code review, automated tests and a staging environment from the start.
Load testing, security review, backups and alerts, so you know how the system behaves before your users find out.
Production support, cost reviews and performance work as the product and traffic grow.
One or several engineers in your team
Monthly, per engineer. You interview and choose.
For teams with a technical lead who need more back-end or DevOps capacity.
Node.js, Python or DevOps engineers
Your repositories, process and priorities
Code review with your team
Replacement if someone isn't a fit
Scale as the roadmap changes
A defined back end, migration or performance project
Fixed price after discovery.
For a new back end, a move to AWS or a performance overhaul with a clear outcome.
Scope agreed in a Discovery Sprint
Architecture and infrastructure plan
Delivery in sprints with demos
Load and security testing
Documentation and hand-over
An AI-powered fashion commerce platform that helps retailers deliver personalized shopping experiences through virtual styling, AI recommendations, image search, and intelligent product discovery.
An AI-powered payroll validation platform that extracts data from salary slips, verifies payroll calculations, and automates reporting and approval workflows for HR and finance teams
Our back-end engineers have built the systems behind web apps, mobile apps and AI products for years. Most clients keep working with us after the first release: 85% of our customers come back.
Node.js and Python engineers in one team.
AWS, Docker, Kubernetes, NGINX and CI/CD pipelines.
70+ products launched.
98% of our projects are delivered on time.
Engineers can start in about two weeks.
We pick proven tools over trends.
Infrastructure sized to your traffic and budget.
Architecture, runbooks and environments are documented.
Cloud accounts, keys and code stay yours.
Our engineers in Europe overlap with part of the US working day.
No sales pitch
Tell us about your back end
What does it run on today and what needs to change? We'll suggest an approach, the engineers you'd need and a rough estimate.
By subscribing you agree to receive emails from Gilzor. You can unsubscribe at any time. Privacy Policy.
