Immediate Opening For Full Stack Engineer

Digiclarity Global Solutions Pvt. Ltd.; Chennai; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Digiclarity Global Solutions Pvt. Ltd. in Chennai is seeking a proactive Full Stack Engineer to design, build, and ship end-to-end features using modern cloud-native stacks.

You will own components from frontend interfaces to backend microservices and collaborate with senior leaders on architecture and delivery. We expect 2–4 years of hands-on experience with Python/Java/.NET, React or Angular, REST APIs, and cloud platforms.

Qualifications

• Strong understanding of Data Structures, Algorithms, and clean code principles.

Responsibilities

• End-to-End Development: Design, build, test, and ship responsive full-stack features from front-end interfaces to back-end microservices.
• API Architecture: Build, document, and integrate secure, high-performance RESTful APIs.
• Database & Performance Optimization: Design efficient relational database schemas, optimize complex SQL queries, and ensure data integrity.
• Cloud & DevOps Integration: Deploy, monitor, and support scalable applications across cloud platforms (AWS / Azure / GCP).
• Production Excellence: Debug, troubleshoot, and resolve production bugs and live-system issues with quick turnaround times.
• Engineering Culture: Participate in peer code reviews, sprint planning, unit testing, and agile rituals to maintain robust code quality.

Skills

Data Structures

Algorithms

Object-Oriented Programming

Clean Code

Tools

Python

Java

.NET

PostgreSQL

MySQL

Oracle

SQL Server

React

Angular

REST API

AWS

Azure

GCP

Git

Unit Testing

Django

FastAPI

Flask

Job description

Full Stack Engineer

Location: [Chennai]

Work Mode: [On-site]

Employment Type: Full-Time, Permanent

Experience: (24 Years)

Why Join Us?

Are you a Full Stack Engineer eager to work on modern tech stacks, solve complex problems, and scale cloud applications? At [Company Name], we build data-driven systems and high-performance applications.

We are looking for an ambitious engineer with 2–4 years of experience to join our core engineering team. Here, you won't just write code—you will own features end-to-end, collaborate closely with senior leaders, and get hands-on exposure to modern cloud architectures and emerging AI technologies (LLMs, RAG, AI Agents).

What You Will Do

• End-to-End Development: Design, build, test, and ship responsive full-stack features from front-end interfaces to back-end microservices.
• API Architecture: Build, document, and integrate secure, high-performance RESTful APIs.
• Database & Performance Optimization: Design efficient relational database schemas, optimize complex SQL queries, and ensure data integrity.
• Cloud & DevOps Integration: Deploy, monitor, and support scalable applications across cloud platforms (AWS / Azure / GCP).
• Production Excellence: Debug, troubleshoot, and resolve production bugs and live-system issues with quick turnaround times.
• Engineering Culture: Participate in peer code reviews, sprint planning, unit testing, and agile rituals to maintain robust code quality.

What We Are Looking For (Must-Haves)

• Core Fundamentals: Strong understanding of Data Structures, Algorithms, Object-Oriented Programming (OOP), and clean code principles.
• Back-End Expertise: 2+ years of hands-on development in Python (Django / FastAPI / Flask), Java (Spring Boot), OR .NET (ASP.NET Core).
• Database Skills: Solid hands-on experience with Relational Databases (PostgreSQL, MySQL, Oracle, or SQL Server).
• Front-End Basics: Proficiency in HTML5, CSS3, JavaScript (ES6+), with working experience in React or Angular.
• API & Integrations: Deep understanding of RESTful architecture, HTTP protocols, and JSON/XML data formats.
• Cloud & Tools: Basic hands-on familiarity with Cloud Services (AWS / Azure / GCP), Git version control, and unit testing frameworks.

Bonus Points For (Good-to-Haves)

• AI & Modern Tech: Exposure to Generative AI, LLMs, RAG architectures, AI Agents, or MCP.
• Data Engineering: Basic experience with ETL pipelines, Pandas, PySpark, or Apache Airflow.
• DevOps: Experience with Docker, CI/CD pipelines (GitHub Actions/Jenkins), and basic Linux administration.
• Domain Experience: Prior background in Healthcare tech (Claims, EHR, HL7/FHIR standards).