Backend Developer Building Resilient Cloud Systems
As a Backend Developer and Cloud Engineer based in India / Remote, I specialize in building highly scalable systems, architecting microservices and high-throughput ETL data pipelines on Microsoft Azure, with zero-downtime reliability powered by CI/CD automation.
About Hiten Samalia
Hiten Samalia is a backend and cloud engineer based in India, focused on 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. Experienced in designing high-throughput ETL data ingestion pipelines, asynchronous microservices, and robust CI/CD automation (-70% deployment latency). Seeking high-impact 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
Full Stack Developer(Internship + Full Time)
CLIENT PARTNERSHIP: QUODD (US-Based Financial Market Data Client)
Collaborated with a US-based client (QUODD) to design, build, and maintain 7+ Azure-based microservices exposing RESTful APIs for the QuoddFunds platform, with a focus on backend architecture, performance, and scalability.
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
SALES LEADERBOARD API — FREELANCE (ITC SALT PRODUCTS)
Serverless leaderboard system for an ITC field sales team of 173+ people.
Built and deployed a sales leaderboard system for an ITC field sales team of 173+ people across 11 locations, used daily to rank reps by quantity sold within their location and tier and drive competition.
Used Google Sheets as a lightweight data store for rep entries, exposed through FastAPI endpoints deployed serverless on Azure Function Apps; partnered with a frontend developer to ship a complete, production-usable dashboard.
Python, FastAPI, Google Sheets API, Azure Function Apps
Shipped a complete, production-usable dashboard driving daily competition among field sales reps.
PATTERN: Serverless FastAPI Endpoints with Google Sheets as Lightweight DB
THROUGHPUT/LATENCY: Daily concurrent usage by 173+ field reps
CORE INNOVATION: Leveraging Google Sheets API for a cost-effective, easily accessible backend store for non-technical stakeholders.
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.
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.
WIRELESS PRINT & WEIGH SYSTEM — IOT PLATFORM
Multi-agent IoT backend platform that makes existing printers wireless and auto-populates labels with live scale data.
Architected a multi-agent Python/FastAPI backend (separate print, network, and weighing-scale agent services) that makes existing printers wireless and auto-populates labels with live scale data, currently deployed for jewellery retail label printing.
Hardened the embedded Linux deployment for rugged, power-loss-prone environments using a read-only root filesystem with atomic state persistence to prevent data corruption, and built a companion React-based label designer UI.
Python, FastAPI, Embedded Linux, React
Currently migrating parts of the architecture to a hybrid cloud/microcontroller design for cost efficiency.
PATTERN: Multi-Agent Edge Microservices with Read-Only Root FS
THROUGHPUT/LATENCY: Real-time weighing scale data ingestion and wireless print execution
CORE INNOVATION: Atomic state persistence on embedded Linux to prevent data corruption during unexpected power losses.
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
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 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.