Aizaz
Backend Engineering
Build backends that handle real traffic, clean data models, and integrations your frontend and partners can depend on.
- Senior-led
- Production-minded
- Built to hand over
The engagement
From a real constraint to a system that works.
The problem
Frontend looks polished but the backend creaks under load. Queries timeout, jobs fail silently, and every new feature risks breaking existing APIs. You need senior backend work, not another layer on a shaky foundation.
How we help
Aizaz.studio delivers backend engineering with clear data models, reliable APIs, background processing, and observability. We design for the traffic you have and the growth you are planning — with documentation your team can build on.
What we can own
Senior execution across the critical path.
- 01
REST and GraphQL API design and implementation
↗ - 02
PostgreSQL and relational data modeling
- 03
Background jobs, queues, and scheduled tasks
- 04
Authentication, authorization, and session management
↗ - 05
Third party API integrations and webhooks
↗ - 06
Caching, performance tuning, and query optimization
- 07
Logging, monitoring, and error tracking
Where it creates value
Built around real operating scenarios.
Mobile app → backend API → auth → push notifications → analytics
High traffic SaaS → query optimization → caching → scale plan
Ecommerce platform → order API → inventory sync → payment webhooks
Data pipeline → ingestion API → validation → warehouse → reporting
Why Aizaz Studio
Built for momentum without creating tomorrow’s mess.
Clear system contracts
Versioned APIs, schemas, validation, and documented ownership keep frontend, partner, and background work aligned.
Data integrity under failure
Transactions, idempotency, queues, retries, and reconciliation are chosen around the business events that cannot be lost.
Operational visibility
Structured logs, metrics, traces, health checks, and actionable alerts show where latency or failures begin.
Backend engineering for new products and existing systems
New product work starts with the domain model and the contracts the product will depend on. Existing-system work starts with production evidence: slow paths, failure history, data inconsistencies, coupling, and the changes the team is afraid to make.
We avoid broad rewrites when an incremental boundary, migration, or compatibility layer can reduce risk sooner.
Reliability patterns behind APIs and background jobs
A dependable backend treats failures as normal. Requests are validated, important operations are idempotent, long-running work moves to queues, and external calls have timeouts, retries, and circuit breakers. Reconciliation catches the cases automation cannot repair safely.
The exact pattern depends on the consequence of duplication, delay, or loss.
Data models that can survive product change
Schema design reflects business ownership, lifecycle, and access patterns rather than mirroring the first set of screens. Migrations are staged, observable, and reversible where practical so product work can continue while the model evolves.
Engineering evidence
Modern backend work includes the delivery system around the code
The multi-language code-checking engagement combined Python, Node.js, and .NET work with codebase cleanup, observability, Azure CI/CD, and npm distribution.
How we deliver
A clear path from context to production.
- 01
Profile the system
Map the domain, APIs, data stores, background work, dependencies, production load, and known failure modes.
- 02
Design the next boundary
Define contracts, migration steps, reliability requirements, and how old and new behavior will coexist.
- 03
Deliver without a risky cutover
Ship in measurable increments with tests, observability, data checks, and a rollback or replay path.
FAQs
Frequently Asked Questions
What backend technologies do you specialize in?+
Node.js, TypeScript, PostgreSQL, Redis, and AWS services. We match the stack to your product and team, prioritizing maintainability over trends.
Can you improve an existing backend without rewriting it?+
Yes. We often optimize critical paths, fix data model issues, and add observability before recommending larger refactors.
Do you design APIs for third party developers?+
Yes. We build versioned public APIs with documentation, rate limiting, and webhook patterns for partner and customer integrations.
How do you approach database design?+
We model around real business rules and query patterns, with migrations, indexing strategy, and growth plans documented from the start.
Can backend work run parallel to frontend development?+
Yes. We define API contracts early so frontend and backend teams — or our full stack team — ship in parallel without blocking.
Next step
Discuss the system boundary that is slowing you down
Bring the API, data, reliability, or scaling problem. We will identify a safe first engineering slice. hello@aizaz.studio +92 334 2056691