I’m a Senior Software Engineer with Staff-level scope, focused on backend systems, cloud infrastructure, and production reliability on AWS.

I design distributed systems, define infrastructure and deployment patterns, and stay deeply hands-on building backend services using Python (FastAPI) and Node.js. My work spans architecture decisions, infrastructure as code with Terraform, CI/CD automation, and operating systems in production.

I care about how systems behave after they ship. Reliability, observability, security, and cost efficiency are first-class concerns in everything I build.

Currently focused on backend, cloud, and platform-oriented roles.

• Design backend and service architectures for scalable systems
• Build and operate cloud infrastructure on AWS using Terraform
• Develop backend services and APIs in Python (FastAPI) and Node.js
• Design event-driven and serverless systems (SQS, SNS, Lambda)
• Own CI/CD pipelines, deployment safety, and environment isolation
• Improve production reliability through observability and automation
• Mentor engineers and review designs to keep systems coherent

Front-end work (React) is something I step into when needed, but backend, cloud, and infrastructure are my primary focus areas.

Backend & APIs
Python (FastAPI) · Node.js · REST · GraphQL · Microservices · Serverless

Cloud & DevOps
AWS · Terraform · Docker · Kubernetes · GitHub Actions · GitLab CI/CD

Data & Messaging
PostgreSQL · DynamoDB · Redis · SQS · SNS · Kafka

Security & Operations
IAM · KMS · Secrets Manager · Monitoring · Alerting · Incident response

• GuardScan
  Local-first security scanning and AI code review CLI for secure developer workflows
  https://guardscancli.com

• CodeSage
  Backend-heavy code discovery platform built with Python and FastAPI
  https://github.com/ntanwir10/codesage

• AI-Driven Distributed Anomaly Detection
  Distributed anomaly detection using Redis Bloom and Redis Gears
  https://github.com/ntanwir10/AI-Anamoly-Detector

• AWS Cloud Uploader CLI
  Shell-based AWS automation tool for secure object uploads and basic lifecycle management
  https://github.com/ntanwir10/Bash-CloudUploaderCLI_AWS

These are smaller or exploratory systems that focus on specific engineering problems rather than full platforms.

• Real-time AI Dungeon Master
  Real-time, stateful system coordinating AI-driven interactions with low-latency event handling
  https://github.com/ntanwir10/realtime_ai_dungeon_master

• localLedger
  Cloud-native financial tracking application for small businesses and individuals, offering real-time expense tracking, automated reporting, and secure data management on Azure. https://github.com/ntanwir10/localLedger

• Design for failure and recovery, not the happy path
• Treat infrastructure and deployments as first-class code
• Make system behaviour observable before optimizing it
• Prefer simple, explicit architectures over clever abstractions
• Optimize for long-term ownership, not short-term delivery

• LinkedIn: https://linkedin.com/in/naumantanwir
• Portfolio: https://naumantanwir-dev.vercel.app
• Email: [email protected]
• Buy Me A Coffee: https://buymeacoffee.com/ntanwir10