Full Stack Engineer

1 week ago

Noida, Uttar Pradesh, India NovoStack Full time ₹ 9,00,000 - ₹ 12,00,000 per year

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 meaningful insights from unstructured data Skills and Specifications

Required Skills:

  • Proven experience of 3-5 yrs as a Full Stack Developer or similar role
  • Experience developing Enterprise level 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 is a must.
  • 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) and UI/UX design
  • Good experience in seamless API Intergrations
  • Excellent communication and teamwork skills
  • Great attention to detail Understanding of machine learning concepts and methodologies are highly preferred.

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