BACKEND. CLOUD. CONNECTED SYSTEMS.

Umair Qamar

Build the services.
Connect the system.

I work across Node.js and Python services, AWS infrastructure and data platforms. I connect implementation details with the reliability and maintainability of the wider system.

AWS & serverless · Asynchronous systems · Data architecture

Umair Qamar at a technical session
The code. The context. The team.
Based in Pakistan. Experienced with distributed teams.A little more about me ↓

01 / CLOUD / BACKEND ENGINEER

Think beyond
the individual service.

My engineering work brings together APIs, asynchronous workflows, operational storage and analytical data. From startup infrastructure to an enterprise retail engagement, I stay close to the dependencies and decisions that shape delivery.

AWS & serverlessAsynchronous systemsData architecture
01 / EXPERIENCE IN CONTEXT

Operational and analytical workloads

Customer-data platform work connected PostgreSQL on RDS with an S3-based lakehouse using Apache Iceberg and Athena. Different access patterns called for different storage responsibilities.

Explore the storage decisions ↗
02 / EXPERIENCE IN CONTEXT

Backend and infrastructure together

At Revcloud, my work spanned backend services, cloud infrastructure and data-platform engineering. I stayed hands-on as the startup grew.

View engineering experience ↗
03 / EXPERIENCE IN CONTEXT

Enterprise delivery context

My SRG engagement through Convert Digital brings interconnected systems, customer-facing performance and safe change delivery into the same engineering conversation.

View the SRG engagement ↗

02 / SELECTED ENGINEERING WORK

Different problems.
One connected skill set.

The context, my contribution,
and the decisions underneath.

03 / EXPERIENCE ACROSS STAGES

From starting small
to thinking at scale.

Scope changes.
Ownership still matters.

ENTERPRISE ENGINEERINGAustralian retail
Client assignment

Spotlight Retail Group (SRG)

Senior Software Engineer / Tech Lead

I contribute hands-on engineering and technical leadership to SRG's Australian retail engagement through Convert Digital. Working within an established engineering ecosystem means connecting implementation decisions with the wider product, the teams around it and the systems already in use.

This is engineering with enterprise constraints: interconnected systems, performance-sensitive customer experiences and changes that need to be delivered safely. Reliability, maintainability and clear technical decisions shape how I approach the work.

THE BUSINESS CONTEXT

A multi-brand retail group spanning Spotlight, Anaconda, Harris Scarfe and Mountain Designs. That breadth brings a different delivery context from building a startup's first product.

Group context, not a claim of ownership across every brand or system.
Convert Digital logo
Assignment through Convert Digital
STARTUP GROWTH

Revcloud

I joined as the first full-stack engineer from Pakistan before the startup had its first customers. My work spanned backend services, cloud infrastructure and data-platform engineering as the company grew.

Alongside hands-on development, I led engineering teams and helped connect technical decisions with product delivery.

04 / MY ENGINEERING TOOLKIT

Technologies I'm
comfortable with.

Across the interface, the services
and the infrastructure underneath.

A toolkit, not a fixed recipe. I choose technologies around the product, the team's needs and the constraints of the system.

01 / INFRASTRUCTURE

Cloud & delivery

Serverless workflows, containers and infrastructure as code.

  • AWS
  • Lambda
  • EventBridge
  • SQS / SNS
  • Step Functions
  • Terraform
  • Docker
  • Kubernetes
  • CI/CD
  • CloudWatch
02 / SERVICES

Backend & architecture

APIs, microservices and asynchronous systems.

  • Node.js
  • Python
  • NestJS
  • Express
  • Django
  • Event-driven architecture
03 / DATA

Storage & data engineering

Operational data, caching and analytical storage.

  • PostgreSQL
  • MongoDB
  • DynamoDB
  • Redis
  • Amazon S3
  • Apache Iceberg
04 / INTERFACES

Frontend & product

Interfaces, application state and connected workflows.

  • TypeScript
  • React
  • Next.js
  • Redux Toolkit
  • RTK Query
05 / APPLIED AI

Generative AI & retrieval

Connecting LLM applications with useful context through ingestion, chunking, embeddings and retrieval.

  • LLM applications
  • RAG
  • Embeddings
  • Semantic search
  • Pinecone
  • FAISS

05 / HOW I LEAD DELIVERY

Close to the code.
Connected to the team.

Good technical leadership makes
the next decision clearer.

01 / UNDERSTAND

Start with the problem.

Make the user need, constraints and success criteria explicit before choosing a solution.

02 / DESIGN

Make tradeoffs visible.

Connect the interface, service boundaries, data model and infrastructure into a coherent plan.

03 / BUILD

Stay hands-on.

Work through the difficult implementation details and help the team move with shared context.

04 / DELIVER

Close the loop.

Bring testing, rollout and operational feedback into the conversation, not just feature completion.

Making technical ideas understandable.01
Technical depth. Clear communication.02

06 / ALWAYS BUILDING, ALWAYS LEARNING

A practical foundation.
An expanding perspective.

Hands-on engineering experience, AWS credentials and formal study in AI.

Master's in Artificial Intelligence

Lahore University of Management Sciences (LUMS). In progress.

Bachelor's in Engineering

University of Engineering and Technology, Lahore.