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Full Stack Developer (Hea Job/ 25)

For Ai-Driven Platform For Real-Time Healthcare Claim Settlements.
7 - 10 Years
Full Time
Up to 30 Days
Up to 26 LPA
1 Position(s)
Delhi
Posted By : HeadPro Consulting
Posted 2 Days Ago

Job Skills

Job Description

Job Overview

We are looking for a talented Full Stack Developer who can work across the stack and contribute to our cutting-edge web applications. The ideal candidate should be a problem solver, with a proactive approach to identifying issues and resolving them effectively. They will collaborate with our team to develop, implement, and maintain features for our clients in the insurance industry.

Job Responsibilities:

⦁ Work with development teams and product managers to create software solutions

⦁ Design client-side and server-side architecture

⦁ Build the front-end of applications through appealing visual design

⦁ Develop and manage well-functioning databases and applications

⦁ Write and document effective APIs

⦁ Test software to ensure responsiveness and efficiency

⦁ Troubleshoot, debug and upgrade software

⦁ Create security and data protection settings

⦁ Build features and applications with a mobile responsive design

⦁ Write technical documentation

⦁ Work with data scientists and analysts to improve software and implement meaningfulinsights from unstructured data

Skills and Specifications Required Skills:

⦁ Proven experience of 7-8 yrs as a Full Stack Developer or similarrole

⦁ Experience developing desktop and mobile applications

⦁ Familiarity with common stacks

Backend Skills: Proficient in Java (Spring Boot) or Python (Django).

Frontend Skills: Experience with Angular or React for creating user-friendly interfaces.

Database: Knowledge of MongoDB and MySQL for efficient data management.

Other Skills: Proficiency in JavaScript, with familiarity in front-end frameworks and libraries.

⦁ Familiarity with web servers (e.g. Apache, Nginx) andUI/UX design

⦁ Excellent communication and teamwork skills

⦁ Great attention to detail Understandingof machine learning concepts and methodologies are highly preferred.