Immediate Opening For Full Stack Engineer

Full Stack Engineer

Location:

Work Mode:

Employment Type:

Experience:

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).