Software Engineer - Node.js [Backend]

Overview

About the job:

As a Software Engineer specializing in Node.js [Backend] at SecuvyAI, you will be at the forefront of developing cutting-edge solutions in the field of cybersecurity. You will work closely with a talented team of engineers to build secure and scalable applications using your expertise in TypeScript, JavaScript, system design, problem-solving, Amazon EC2, CI/CD, algorithms, Redis, distributed computing, and DBMS.

Key responsibilities:

1. Design and implement robust and scalable backend systems using Node.js
2. Develop and maintain APIs for seamless integration with frontend applications
3. Implement security measures to protect sensitive data and prevent cyber threats
4. Optimize application performance by utilizing caching mechanisms like Redis
5. Collaborate with cross-functional teams to ensure smooth deployment and testing processes
6. Conduct code reviews and provide constructive feedback to improve code quality
7. Stay updated on the latest technologies and best practices in backend development to enhance the overall product offering.

If you are passionate about software engineering and eager to make a significant impact in the cybersecurity industry, we invite you to join our dynamic team at SecuvyAI.

Who can apply:

Only those candidates can apply who:

1. have minimum 1 years of experience
2. are Computer Science Engineering students

Salary:

₹ 10,50,000 - 16,70,000 /year

Experience:

1 year(s)

Deadline:

2025-11-14 23:59:59

Other perks:

Informal dress code, 5 days a week, Free snacks & beverages, Cab/Transportation facility, Health Insurance

Skills required:

JavaScript, Algorithms, Problem Solving, Database Management System (DBMS), TypeScript, Distributed Computing, CI/CD, Redis, Amazon EC2 and System Design

Other Requirements:

Previous experience in startups or product based companies

Previous experience in security

About Company:

SecuvyAI is an enterprise software company that provides a data intelligence platform powered by self-learning artificial intelligence (AI). This platform is used for AI governance, data security, privacy compliance, and risk management.