DEV Community: Aaronjames Kashim

Backend Development Niches Explained (and What They Actually Do)

Aaronjames Kashim — Wed, 01 Apr 2026 07:26:24 +0000

When people hear “backend developer,” they often think it’s just about APIs and databases. But backend development is way broader — there are multiple niches, each with its own role, tools, and challenges.

Here’s a breakdown of the most important backend niches 👇

🧠 1. API Development

What they do:
Design and build APIs that allow frontend apps and services to communicate.

Key responsibilities:

Creating REST or GraphQL APIs
Handling authentication & authorization
Ensuring scalability and performance

Tech stack: Node.js, Django, Spring Boot, Express

🗄️ 2. Database Engineering

What they do:
Design, optimize, and maintain databases.

Key responsibilities:

Schema design
Query optimization
Data consistency and backups

Tech stack: PostgreSQL, MySQL, MongoDB, Redis

⚙️ 3. DevOps / Backend Infrastructure

What they do:
Manage deployment, scaling, and system reliability.

Key responsibilities:

CI/CD pipelines
Containerization (Docker, Kubernetes)
Monitoring and logging

Why it matters:
Without them, your backend might work… but not in production 😅

🔐 4. Security Engineering

What they do:
Protect systems, APIs, and data from attacks.

Key responsibilities:

Implementing encryption
Preventing vulnerabilities (SQL injection, XSS)
Managing identity systems

📡 5. Distributed Systems Engineering

What they do:
Build systems that run across multiple servers.

Key responsibilities:

Microservices architecture
Message queues (Kafka, RabbitMQ)
Handling failures and consistency

Used in: Large-scale apps like Netflix, Uber, etc.

🤖 6. Backend for AI/ML Systems

What they do:
Support machine learning models in production.

Key responsibilities:

Model deployment APIs
Data pipelines
Real-time inference systems

💰 7. Fintech Backend Development

What they do:
Build systems for financial applications.

Key responsibilities:

Payment processing
Transaction systems
Regulatory compliance

Important: Requires strong focus on security and accuracy.

🎮 8. Real-Time Backend (Gaming & Chat Apps)

What they do:
Handle live interactions between users.

Key responsibilities:

WebSockets & real-time messaging
Low-latency systems
Event-driven architecture

🧩 9. Enterprise Backend Systems

What they do:
Build large internal systems for organizations.

Key responsibilities:

ERP/CRM systems
Integration with legacy systems
High reliability and long-term maintenance

🧭 How to Choose a Niche?

Ask yourself:

Do I enjoy system design? → Distributed systems
Do I like data? → Database engineering
Do I enjoy security challenges? → Security engineering
Do I like deployment and infrastructure? → DevOps

🧠 Final Thoughts

Backend development isn’t one path — it’s a collection of specialized roles that power everything users don’t see.

Pick a niche, go deep, and you’ll stand out way faster than trying to learn everything at once.

💬 Which backend niche are you interested in? Drop it below!

A Developer Said His Database Was Slow… Here’s What We Found

Aaronjames Kashim — Mon, 30 Mar 2026 07:58:39 +0000

I was helping a developer friend debug a slow e-commerce project recently…

The complaint was simple:
“The database is slow.”

But when we looked closely, the database wasn’t the real problem.

So we started checking step by step.

First, we used Google PageSpeed Insights
→ to understand how users experience the site

Then Chrome DevTools (Network tab)
→ to see which requests were taking time

And finally Lighthouse
→ to break down performance issues clearly

Everything pointed to one thing…

The backend was doing too much work per request.

The same data was being fetched repeatedly
No caching layer
Queries were not optimized

Nothing was “broken”…
But everything was inefficient.

That’s the part many developers miss.

Sometimes the issue isn’t:
“Your database is bad”

It’s:
“How you’re using it.”

We made a few small changes:

Reduced unnecessary queries
Added basic caching
Cleaned up how data was fetched

And the improvement was immediate.

No rewrite.
No new technology.
Just better decisions.

If you’re building something right now, remember:

Your database is not slow.
Your approach might be.

What’s one backend issue you’ve struggled with recently?

Database Design Is Underrated — And It’s Why Many Developers Get Stuck

Aaronjames Kashim — Sat, 28 Mar 2026 07:34:04 +0000

Most developers don’t struggle because they can’t code.

They struggle because they don’t know how to think in systems.

And nothing exposes that gap faster than database design.

You’ve probably experienced it:
You understand the idea. You can picture the app.
But the moment you try to design the database… everything gets messy.

Tables don’t make sense. Relationships feel confusing.
You keep restarting.

So here’s the truth:

👉 You don’t need a more complex method.
👉 You need a clear thinking strategy.

This is the exact step-by-step approach that works consistently.

The Real Problem

Most people jump straight into tables.

That’s the mistake.

A database is not where you start.
It’s where you arrive after understanding the system.

The Strategy That Actually Works

Understand the Real-World Flow

Before writing a single table, ask:

“What actually happens in real life?”

Forget code. Think like a storyteller.

Example (Uber-like system):

A rider opens the app
Requests a ride
System finds a driver
Driver accepts
Trip starts
Trip ends
Payment happens

That’s your flow.

👉 If you can’t explain the system in simple steps, you can’t design the database.

Extract Entities

Now pull out the “things” involved.

From the flow above:

User (Rider)
Driver
Ride
Payment
Location

These are your entities → they become tables.

👉 Rule: If it exists independently in the system, it’s probably an entity.

Define Relationships

Now ask:

“How are these things connected?”

Examples:

A user can request many rides
A driver can complete many rides
A ride belongs to one user and one driver
A ride has one payment

This gives you:

One-to-many
One-to-one
Many-to-many

👉 This step is where most confusion happens — but it becomes easy when tied to real-world logic.

Add States

Real systems are not static.

Things change over time.

A ride isn’t just a ride. It has states:

Requested
Accepted
In Progress
Completed
Cancelled

So instead of just storing data, you store status.

👉 This is what makes your system realistic and scalable.

Track Events (Messages, Reads, Actions)

Modern systems don’t just store data — they track behavior.

Examples:

Driver accepted ride at 10:05
User cancelled ride at 10:07
Notification sent
Message read

This means you may need:

Logs
Activity tables
Message systems

👉 This is how companies build features like notifications, analytics, and history.

Handle Many-to-Many Early

This is a common trap.

Example:

Drivers can serve many locations
Locations can have many drivers

You can’t store this in one table.

You need a junction table:

driver_locations

👉 If you ignore this early, your design breaks later.

Think About Failures

This is what separates beginners from real engineers.

Ask:

What if payment fails?
What if driver cancels?
What if user disconnects?

Your database must handle:

retries
failed states
logs

👉 Systems don’t break because of success cases — they break because of failure cases.

Putting It All Together (Uber Example)

Let’s combine everything:

Entities:

users
drivers
rides
payments

Relationships:

user → rides (1-to-many)
driver → rides (1-to-many)
ride → payment (1-to-1)

States:

ride_status (requested, accepted, completed…)

Events:

ride_events (accepted, cancelled, started…)

Failure Handling:

payment_status (pending, failed, successful)

Now your system is no longer just data…

It’s a living system.

Who Needs This Skill?
Backend developers → to build scalable systems
Startup founders → to avoid rebuilding products
Data engineers → to structure clean pipelines
Product engineers → to design features that actually work

👉 If you build anything real, you need this.

How Companies Actually Use This

Companies don’t “guess” database design.

They:

Map real-world flows
Break systems into entities
Carefully define relationships
Track every important event
Design for failure from day one

That’s why their systems scale.

Not because they use fancy tools —
but because their thinking is structured.

Tools You Can Use (Manual + Automatic)
Manual Tools (Best for Thinking)
Draw.io
Whimsical
Pen and paper (very underrated)

👉 These force you to understand before building

Automatic Tools (Best for Speed)
dbdiagram.io
Prisma ORM (auto schema generation)
Django ORM (models → database)

👉 These help you implement faster

Final Insight

Database design is not about tables.

It’s about:

understanding reality
structuring complexity
thinking in systems

If you follow this process:

Flow
Entities
Relationships
States
Events
Many-to-many
Failures

You’ll never feel stuck again.

If you want to improve as a backend engineer, don’t just practice coding.

Practice thinking like this.

That’s the real skill.
An ER Diagram for a database desgin i made

My Plan Before Coding

Aaronjames Kashim — Thu, 26 Mar 2026 08:13:25 +0000

Many developers dive straight into git init, but the most critical work happens before the first line of code is written. Today, I’m walking you through my 7-step planning process using a Digital Marketplace backend as our case study.

1️⃣ The Strategy (The "Ask")
Before writing code, I define the "Why." Skipping this leads to feature creep and wasted hours.

Three Critical Questions:

Who is this for? (Target Audience)

What exact problem am I solving? (Pain Points)

What does success look like? (Definition of Done)

Example Case: Digital Marketplace

Users: Creators selling ebooks, courses, and digital assets.

Problem: Manual payment verification and insecure file delivery.

Success: A creator uploads a file, a user pays via local gateways (like Paystack), the product is delivered instantly, and earnings reflect in a dashboard.

2️⃣ Defining the MVP
What are the "must-have" features to get from zero to one? Focus on the core loop:

[ ] Identity: Authentication with User & Creator roles.

[ ] Management: File upload and storage for creators.

[ ] Checkout: Integration with local payment gateways.

[ ] Verification: Robust webhook handling for payment status.

[ ] Delivery: Automated email/secure download links.

[ ] Finances: A wallet system to track creator balances.

3️⃣ System Design (High-Level Thinking)
Visualizing data flow prevents bottlenecks later. Here is the logic for a purchase:

User → API → Backend → Database
↓
Payment Gateway
↓
Webhook → Backend → Update DB → Deliver Product

4️⃣ Database Design (The "Critical" Step)
This is where most projects fail. Designing a solid schema early saves days of refactoring.

Click to view the SQL Schema Entities

User: id, email, password, role (creator/customer)

Product: id, creator_id, title, price, file_url

Order: id, user_id, product_id, status (pending, paid, failed)

Transaction: id, order_id, amount, reference, status

Wallet: creator_id, balance

5️⃣ Offloading Background Tasks
Not every process belongs in the main request-response cycle. To keep the API snappy, I use Celery + Redis for:

Emails: Sending purchase confirmations.

Retries: Handling failed payment verification pings.

Security: Generating expiring, one-time-use download links.

6️⃣ Security Thinking (Day Zero)
Security isn't a "later" feature. It’s a foundation:

Validation: Strict input sanitization to prevent injection.

Auth: Protecting endpoints with JWT or session-based security.

Storage: Using Signed URLs to ensure only paid users can access files.

Rate Limiting: Protecting APIs from brute force or DDoS attempts.

7️⃣ Infrastructure & Deployment
Decide on your stack before you start to avoid "environment hell."

Containerization: Docker for local development and production consistency.

Hosting: Scalable providers like AWS or DigitalOcean.

Storage: S3 or Cloudinary for reliable asset hosting.

What do you think?
Do you have a different planning process, or do you prefer to "build and break" as you go? Let’s discuss in the comments!

Still Trying To Break through Tutorial Hell !!!

Aaronjames Kashim — Wed, 25 Mar 2026 09:02:07 +0000

There’s this quiet, slightly annoying feeling every developer knows—the moment you step away from that tutorial, course, or YouTube series that’s been holding your hand… and suddenly, you feel stuck.

Like, really stuck.

You were flowing just fine while following along, building endpoints, wiring things together, maybe even feeling like a backend wizard. But the second you close that tab? Boom. Confusion.

Here’s the truth most tutorials won’t tell you:

The solution is NOT to go back to the tutorial.
Yeah, I said it.

The real move is to step away from your editor.

Not to code. Not to debug.
But to plan.

Why You Feel Stuck (And It’s Not What You Think)

You’re not stuck because you don’t understand the language.
You’re not stuck because the framework is “too hard.”

You’re stuck because you didn’t plan.

Programming isn’t just typing code—it’s thinking before typing code.

Most beginners assume coding is like:

“Open editor → start typing → figure it out along the way”

But in reality, experienced developers spend something like 60–70% of their time planning, and the funny part?

That planning doesn’t even start in perfect technical language.

Let Me Explain With Something Simple 🍳

Let’s say you want to make fried eggs.

You don’t just walk into the kitchen, turn on the stove, and hope for the best.

You naturally:

Think about the goal → “I want fried eggs”
List what you need → eggs, onions, salt, seasoning
Break it into steps:

Crack eggs into a bowl
Chop onions
Mix everything
Heat oil
Fry

Now imagine skipping that and just… throwing random things into a pan 😅

That’s exactly what coding without planning feels like.

Programming Works the Same Way

Before you write a single line of code, you should ask:

What exactly am I building?
What should the final result look like?
What steps will get me there?

For example, building a backend API shouldn’t start with:

“Let me open my editor and create a server…”

It should start with:

What endpoints do I need?
What data will they handle?
How should users interact with it?
What happens step-by-step when a request comes in?

That’s your “recipe.”

And Yes… Your First Plan Will Be Ugly

Let’s be honest.

Your first plan might be:

messy
incomplete
even a little “stupid”

And that’s perfectly fine.

Planning is not about perfection—it’s about direction.

As you build:

You’ll notice mistakes
You’ll go back and adjust
You’ll refine the idea

That’s the real workflow.

Why Planning Makes You Faster (Ironically)

It feels like planning slows you down.

But in reality:

You avoid random errors
You reduce confusion
You spend less time guessing

So instead of:

code → error → Google → confusion → repeat

You get:

plan → build → adjust → done

Much cleaner. Much faster.

One More Thing (Very Important)

Be careful with how you use AI.

AI is powerful, no doubt. But if you use it to replace your thinking instead of supporting it, you’re doing yourself a disservice.

Don’t let it:

plan everything for you
solve everything for you

Use it to:

guide
clarify
improve your ideas

Your critical thinking is still your greatest tool as a developer.

Final Thought

Always know the output you’re aiming for.
Always break things into steps.
And never ignore the small details—they matter more than you think.

Because at the end of the day…

Good code comes from good thinking.
And good thinking starts with a plan.

Follow my next post to see how I made my plan for a project I am currently working on.

What actually happens when you click ‘Login’?

Aaronjames Kashim — Wed, 18 Mar 2026 07:33:35 +0000

Most people think login is simple.
Enter email → enter password → access granted.

But here’s what actually happens behind the scenes

You click “Login”
Your browser sends a request to the server (a powerful, specialised computer or software system that stores, manages, and delivers data, files, and services to other computers (clients) over a network).
The server receives your data
(email + password)
The password is NOT compared directly
It is hashed and then compared with the stored hash
If it matches
The server creates a session (represents a specific time period that a user spends on a website) or a token (It is a self-contained digital key that proves your identity without the server needing to look up your information in a database every time. )
That token is sent back to your browser
Every future request includes that token
So the server knows it’s you

That’s it—but also not that simple.

Because things can go wrong:

Wrong hashing method
No token expiration
Poor validation

And suddenly your app is not secure.

Tomorrow: I’ll explain the difference between authentication and authorization.