Python Backend & Cloud Engineer Building Resilient Azure Systems
As a Python Backend Engineer and Cloud Engineer based in India / Remote, I specialize in building highly scalable systems. I work extensively as a FastAPI Developer architecting asynchronous Microservices and high-throughput ETL Data Pipelines on Microsoft Azure. My approach emphasizes zero-downtime reliability powered by robust CI/CD Automation.
About Hiten Samalia
Hiten Samalia is a Python backend and cloud engineer based in India, focused on FastAPI microservices, Microsoft Azure, ETL data pipelines, CI/CD automation, and resilient production systems. He is open to backend and cloud engineering opportunities in India and remote teams.
Backend & cloud systems engineer with 2+ years of experience building scalable, cloud-native systems on Microsoft Azure with a primary focus on Python and modern backend architectures. Experienced in designing high-throughput ETL data ingestion pipelines, asynchronous FastAPI microservices, and robust CI/CD automation (`-70% deployment latency`). Seeking high-impact Python backend opportunities where engineering rigor, clean system design, and zero-downtime reliability matter.
EXPERIENCE & DEPLOYMENT TIMELINE
Zversal Private Limited (Backend & Cloud) + Coding Ninjas
[UTC LIVE_STREAM][STREAM ACTIVE] Processing financial data transformations across distributed Azure microservices. Disaster Recovery heartbeat verified: SYNC_OK across Central India & South India regions.
Backend and Cloud Engineering Experience
.NET / Python Developer(Internship + Full Time)
CLIENT PARTNERSHIP: QUODD (US-Based Financial Market Data Client)
Design and maintain Azure-based microservices and ETL workflows for mutual fund data ingestion with a strong focus on backend architecture, performance, and scalability for QUODD.
Contributed to the QuoddFunds platform by building CI/CD pipelines with GitHub Actions and designing automated multi-region Disaster Recovery (DR) pipelines.
Azure Function Apps, Azure Container Apps, GitHub Actions CI/CD, Bicep IaC, SQL, ETL Pipelines
Achieved a 70% reduction in deployment time, zero-downtime rollouts, and ensured data consistency and reliability across downstream systems with multi-region failover.
[00:01:12] INGESTION: Mutual fund tick streams ingested via Azure Function triggers.
[00:01:14] TRANSFORMATION: Validating structured schemas across .NET / Python worker pools.
[00:01:15] CI/CD ACCELERATION: GitHub Actions workflow deployed with zero downtime (70% faster feedback loop).
[00:01:18] DISASTER RECOVERY: Automated multi-region Azure failover heartbeat active and operational.
Teaching Assistant -- Java & DSA(Part-Time Academic Role)
Python, FastAPI, and Azure Projects
AI-POWERED WHATSAPP RAG CHATBOT
Multi-tenant RAG chatbot delivering real-time product recommendations via vector search & tiered tool authorization.
Build a production-grade multi-tenant RAG chatbot delivering real-time product recommendations through semantic vector search.
Engineered the vector search knowledge base and architected a dynamic LangGraph agent with subscription-tier-based tool access.
Python, FastAPI, LangGraph, Pinecone, Jina AI, Cerebras API
Eliminated unauthorized tool hallucination by ensuring clients interact only with capabilities scoped to their tier.
PATTERN: Stateful Agent Workflow (LangGraph) with Multi-Tenant Vector Partitioning
THROUGHPUT/LATENCY: Sub-400ms vector retrieval + Cerebras token generation
CORE INNOVATION: Tiered MCP tool registry preventing lower-tier clients from executing privileged backend mutations.
INVENTORY MANAGEMENT SYSTEM
Full-stack web application for sales/inventory monitoring with FastAPI microservices and MCP integration.
Develop a full-stack web application for monitoring sales and inventory operations with iterative feature enhancements.
Migrated the backend from Django MVC to a high-throughput FastAPI microservices architecture with SQLAlchemy ORM and MCP integration.
Python, FastAPI, SQLAlchemy, Azure Static Web Apps, MCP Protocol
Improved inventory control efficiency by 35% through optimized tracking and reporting pipelines.
PATTERN: Asynchronous REST Microservices with Model Context Protocol (MCP) Bridge
THROUGHPUT/LATENCY: 35% efficiency boost through automated inventory alert pipelines
CORE INNOVATION: Decoupled frontend static hosting (Azure SWA) from backend async microservice worker nodes.
Technical Skills
PROGRAMMING
Core general-purpose runtime languages for system engineering and backend services.
PROD USE CASE: Async FastAPI services, LangGraph orchestration, ETL data pipelines
PROD USE CASE: High-performance enterprise microservices on Azure container runtime
PROD USE CASE: Data structures, algorithms, object-oriented systems design
FRAMEWORKS & LIBRARIES
Backend execution frameworks, ORMs, and stateful agentic AI orchestration.
PROD USE CASE: Asynchronous REST endpoints, OpenAPI schemas, Pydantic type validation
PROD USE CASE: Cyclic multi-agent workflows, subscription-based tool routing, state persistence
PROD USE CASE: Relational database connection pooling, async ORM queries, migration tracking
DEVOPS & TOOLS
Automated deployment pipelines, infrastructure as code, and containerization engines.
PROD USE CASE: 70% faster build & zero-downtime rollout workflows, automated testing
PROD USE CASE: Multi-stage container builds, reproducible microservice runtime packaging
PROD USE CASE: Declarative Azure resource provisioning, parameter-driven environment cloning
PROD USE CASE: Branching strategies, atomic commits, submodule and repository orchestration
PROD USE CASE: Server provisioning, bash scripting, systemd service diagnostics, cron automation
CLOUD (AZURE)
Microsoft Azure distributed compute, networking, and serverless architectures.
PROD USE CASE: Event-driven serverless ingestion triggers for mutual fund ETL pipelines
PROD USE CASE: Managed Kubernetes environment with automated KEDA scale-to-zero
PROD USE CASE: Production API hosting with custom domain binding and SSL offloading
PROD USE CASE: VNet peering, private endpoints, subnet isolation, disaster recovery routing
Certifications and Education
Microsoft: Azure Fundamentals
Microsoft Certified
Python for Data Science
NPTEL
Design Thinking – A Primer
NPTEL
Data Structures in Java
Coding Ninjas
Introduction to Java
Coding Ninjas
Panipat Institute of Engineering and Technology
B.Tech in Computer Science and Engineering
Bal Bharati Public School
High School Certification / PCM Focus
Hiten graduated with an exceptional 8.26 / 10.0 CGPA from PIET while simultaneously serving as a Java & DSA Teaching Assistant at Coding Ninjas, debugging algorithms and resolving over 300+ architecture tickets.
Frequently Asked Questions
What does Hiten Samalia specialize in?
Hiten specializes in building scalable backend architectures, high-throughput ETL data pipelines, and async Python microservices (FastAPI) on Microsoft Azure.
What technologies does Hiten use?
He primarily uses Python, FastAPI, SQLAlchemy, and LangGraph for backend engineering. For cloud and DevOps, he leverages Microsoft Azure (Function Apps, Container Apps, Static Web Apps), Docker, GitHub Actions, and Bicep IaC.
What kind of roles is Hiten open to?
He is currently OPEN TO BACKEND & CLOUD ROLES, particularly positions focused on Python backend engineering, data pipelines, cloud architecture, and building resilient systems.
Where is Hiten based?
Hiten is based in India and is open to remote roles or teams operating in/from India.