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Shahbaz Raza

@shahbazraza

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Senior Backend Engineer specialized in Python/Django, cloud-native systems.

Pakistan

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What I'm looking for

I seek roles focused on backend/cloud platform engineering where I can lead migrations, improve performance, build observability, and deliver secure, scalable systems while mentoring teams.

I am a Senior Backend Engineer with five years building and scaling cloud-native services using Python and Django/DRF, with hands-on experience on AWS and GCP. I led monolith-to-microservices migrations, designed event-driven systems with SNS/SQS/Kafka, and improved performance, observability, and security across production fleets.

I have driven measurable impact: reduced downtime and failed rollouts through Kubernetes and CI/CD/IaC, improved API latency and throughput, and authored a reusable cloud-agnostic Python SDK adopted by multiple teams. I emphasize practical engineering—robust testing, monitoring (Datadog), and secure, well-documented solutions that accelerate delivery and reliability.

Experience

Work history, roles, and key accomplishments

Current

Senior Backend Engineer

Current

Motive

Apr 2023 - Present (2 years 7 months)

Orchestrated migration from monolith to Kubernetes (AWS EKS), reducing downtime by 30% and improving scalability; built Terraform IaC and CI/CD pipelines that cut failed rollouts by 35% and engineered Django/DRF APIs with Celery for async tasks.

Python Django Kubernetes Terraform GitHub Actions Celery Datadog Microservices

Software Developer

Ibisdev

Jun 2022 - Dec 2023 (1 year 6 months)

Designed a high-performance knowledge ingestion AI pipeline and optimized ingestion APIs, reducing p95 latency from 800ms to 320ms at 1K RPS and enabling processing of 10M+ events/day; implemented GitHub Actions and blue/green deployments to cut CI time and rollout risk by 40%.

Python Django GitHub Actions CI CD Vector Stores RAG Performance Tuning DevOps

Software Engineer

Blueeast

Jan 2021 - May 2022 (1 year 4 months)

Built and maintained 30+ web crawlers and optimized PostgreSQL queries with JSONB indexes and CTEs, cutting analytics endpoint response times from 1.2s to 250ms and improving dashboard load times by 75%.