Software Engineer Full Stack

Softbiz Solutions

3 - 5 years

5 - 9 Lacs

Hyderabad

Posted:3 days ago| Platform:

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Skills Required

RDBMS Coding Postgresql MySQL Debugging Product design MongoDB Open source Analytics SQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

Overview:

We are building next-generation

SaaS products

that leverage the power of

AI and LLMs

to solve real-world problems at scale. We re looking for a

Full Stack Software Engineer

who thrives in a fast-paced startup environment and is excited to take ownership of features end-to-end.

This role is perfect for engineers who are not just great at coding in

React

and

Node.js

, but also comfortable learning fast, making architectural decisions, and embracing modern

AI-powered development tools

GitHub Copilot

Cursor

, and

Lovable

What You ll Do:

Build and maintain full-stack features using

React.js

/

Next.js
and
Node.js

/ Nest.js
.
Design and develop scalable
microservices
and APIs.
Work with both
RDBMS
(e.g., PostgreSQL, MySQL) and
NoSQL
(e.g., MongoDB, Redis) systems.
Actively use AI-assisted development tools to accelerate and enhance coding workflows.
Collaborate across teams (Product, Design, DevOps) to deliver high-quality features.
Take complete ownership of modules and drive them from concept to deployment.
Continuously learn and experiment with
LLM-based APIs
, automation tools, and best practices.

What We re Looking For:

3 5 years of hands-on full-stack development experience.
Strong knowledge of
React.js,

Next.js

,

Node.js

, Nest.js
, and
TypeScript
.
Solid understanding of
SQL & NoSQL databases
.
Experience in designing and building
RESTful APIs
and
microservices
.
Familiarity with
cloud platforms
(AWS, GCP, or similar) and
CI/CD workflows
.
Fast learner with a proactive attitude and strong debugging/problem-solving skills.
Hands-on experience with
AI-powered tools
like GitHub Copilot, Cursor, Lovable, Tabnine, etc.
Exposure to
LLMs
, prompt engineering, or tools like LangChain/OpenAI APIs is a plus.

Bonus Points For:

Experience working in early-stage SaaS startups.
Familiarity with product analytics, feature flags, and A/B testing.
Contribution to open-source or personal side projects.
Understanding of secure coding practices and performance optimization.

What We Offer:

The chance to work on
fast-evolving SaaS products
from day zero.
A highly autonomous and ownership-driven environment.
Opportunity to shape product and engineering direction.
Access to cutting-edge tools and AI tech.
Competitive salary, flexible hours, and equity options.

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