Pooja Nakarani · Senior Python / AWS Backend Developer · 6+ yrs
Mid-LevelAbout Pooja
Pooja Nakarani is a Senior Backend Engineer + DevOps/Backend Engineer building Identity & Access Management + E-commerce Order/Inventory + Background Job/Notification Engine + Automated Cloud Deployment + Internal Microservices Communication + Distributed Logging Observability + API Quality TDD/BDD. Specializes in IAM + microservices +…
6+ years of commercial experience in
Skills(41)
Why hire Pooja?
Sr Backend + DevOps/Backend + 7 enterprise systems + IAM + TDD/BDD specialty
E-commerce Order/Inventory — high-availability + low-latency
Background Job/Notification — async tasks + emails + reports
Automated Cloud Deployment — CI/CD + IaC + AWS + multi-environment
Microservices Communication — secure private + encrypted
Distributed Logging — observability + tracing + AWS
Built 7 enterprise backend systems including IAM + Microservices + Observability + TDD/BDD
Project highlights(7)
Identity & Access Management Platform – Backend Engineer
- Centralised authentication and authorisation service supporting multiple internal/external apps — handles registration, login, token issuance, RBAC and OAuth2/OIDC API authentication. Cloud-native on AWS ECS with Terraform IaC.
- Designed OAuth2 + OIDC authentication flows integrating Auth0 + AWS Cognito.
- Implemented role-based access control and permission management.
- Structured Flask app using Blueprints + dependency injection.
- Used Redis for token caching, session validation and rate limiting.
- Secured secrets with AWS Secrets Manager.
- Containerised via Docker on ECS Fargate; Terraform for IaC.
Key outcomes:
Delivered centralised IAM with OAuth2/OIDC + Auth0 + Cognito and Redis-backed token caching/rate limiting.
E-commerce Order & Inventory Management – Backend Developer
- High-availability backend for orders, inventory and payment status — designed for high traffic, data consistency and low-latency responses. Containerised behind ALB with horizontal scalability.
- Developed RESTful APIs for order lifecycle, inventory tracking and payment status.
- Configured Gunicorn with optimal worker settings for concurrent request handling.
- Implemented Redis caching to reduce DB load.
- Designed PostgreSQL schemas with indexing for performance.
- Integrated ALB for load balancing, health checks and fault tolerance.
- Implemented CloudWatch logging + alarms.
- Ensured zero-downtime deployments via rolling updates on ECS.
Key outcomes:
Built high-availability ALB-fronted ECS e-commerce backend with zero-downtime rolling updates.
Background Job & Notification Engine – Backend Engineer
- Asynchronous background processing for long-running tasks — emails, reports, data processing, third-party API calls. Reliable execution with retries, scalable independently of main app.
- Designed distributed task queues using Celery + Redis.
- Implemented task retry policies, failure handling and dead-letter queues.
- Used multiprocessing + multithreading for CPU/IO-bound tasks.
- Containerised workers and scaled independently on ECS.
- Added CloudWatch metrics for task execution time and failure rates.
Key outcomes:
Built distributed Celery + Redis task queues with dead-letter queues and CloudWatch task-metric monitoring.
Automated Cloud Deployment Framework – DevOps / Backend Engineer
- CI/CD + IaC platform deploying containerised backend services on AWS — IaC, security best practices, repeatable multi-environment deployments.
- Designed reusable Terraform modules for VPC, ECS, ALB and IAM.
- Used Pulumi for dynamic infrastructure logic.
- Built CI/CD pipelines using AWS CodePipeline.
- Implemented IAM least-privilege policies.
- Automated environment-specific deployments with minimal manual intervention.
Key outcomes:
Delivered Terraform + Pulumi multi-environment CD with least-privilege IAM and reduced deployment errors.
Internal Microservices Communication System – Backend Engineer
- Secure internal microservices architecture where services communicate privately without public-internet exposure — encrypted communication, service authentication, strict network-level access control.
- Implemented TLS + mutual TLS (mTLS) for service-to-service authentication.
- Designed VPC architecture with public + private subnets.
- Used AWS PrivateLink to expose services securely within AWS.
- Configured Security Groups + NACLs for network isolation.
Key outcomes:
Reduced attack surface by eliminating public endpoints via PrivateLink + mTLS service-to-service auth.
Industry experience
Cybersecurity
2 projects- •Automated Cloud Deployment Framework— DevOps / Backend EngineerTerraform · Pulumi · AWS CodePipeline · Docker +3
- •Internal Microservices Communication System— Backend EngineerPython · Flask · AWS PrivateLink · TLS +4
E-commerce
1 project- •E-commerce Order & Inventory Management— Backend DeveloperPython · Flask · Gunicorn · PostgreSQL +5
At a Glance
Single contract. No agency markup confusion.
Typically responds within 4 business hours.
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Pooja Nakarani
Backend Developer