Software Engineer

Infor Inc.; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Infor Inc. is seeking a Software Engineer in Hyderabad who will focus on full stack development with a strong emphasis on both React for frontend and Python for backend processes. The ideal candidate should have 3-5 years of experience and be proficient in MongoDB and PySpark for data processing.

He/She will build scalable applications, optimize data operations, and collaborate across teams in a hybrid work setup. This position offers a chance to take ownership of full software development lifecycle activities.

Qualifications

• 3-5 years of experience with Python 3.x focusing on asyncio and API development.
• Hands-on experience with PySpark for data processing.
• Strong expertise in MongoDB operations and schema design.
• Solid understanding of real-time data streaming.

Responsibilities

• Build and maintain scalable web applications using React and Python.
• Design and optimize MongoDB collections and aggregation pipelines.
• Use PySpark for efficient data transformations.
• Develop asynchronous server-side logic in Python.
• Build responsive UIs in React with real-time data handling.
• Take ownership of the full SDLC in an Agile environment.

Skills

Python

MongoDB

PySpark

React

JavaScript (ES6+)

Web Workers

Tools

FastAPI

Flask

Django

Webpack

Vite

Git

Job description

Software Engineer

Department: Development

Employment Type: Full Time

Location: Hyderabad

Description

We are seeking a data-driven Full Stack Developer with 3-5 years of experience for our Hyderabad team. This role focuses on building high-performance applications using React and a robust Python backend. A core part of this role involves complex data operations within MongoDB and leveraging PySpark for scalable data processing. The ideal candidate thrives in a hybrid environment and is comfortable handling both real-time UI interactions and heavy backend data logic.

A Typical Day in the Life Includes:

• Full Stack Development: Build and maintain scalable web applications using React and Python.
• Data Engineering & Operations: Design and optimize MongoDB collections, including complex aggregation pipelines and performance tuning.
• Large-Scale Processing: Use PySpark to handle data transformations and large-scale data operations efficiently.
• Backend Engineering: Develop asynchronous server-side logic in Python (FastAPI/Flask/Django) and implement PySpark jobs for data-heavy tasks.
• Frontend Architecture: Build responsive UIs in React, focusing on browser events, Web Workers for background processing, and WebSockets for real-time data.
• Lifecycle Ownership: Take ownership of the full SDLC—from requirement gathering and design to testing and deployment in an Agile environment.

Basic Qualifications:

• Backend & Data (Python, MongoDB, PySpark): Python Proficiency: 3-5 years of experience with Python 3.x, focusing on asyncio and API development.
• PySpark: Hands-on experience using PySpark for data processing, transformation, and management.
• MongoDB Mastery: Strong expertise in MongoDB data operations, schema design, and query optimization.
• Data Patterns: Solid understanding of handling real-time data streaming and distributed data processing.

Frontend (React):

• React JS: 3-5 years of experience with React and JavaScript (ES6+).
• Browser Internals: Solid understanding of event handling (bubbling, capturing, delegation).
• Performance: Hands-on experience with Web Workers for background processing and state management (Redux/Context API).
• Tools: Familiarity with modern build tools like Webpack or Vite and Git.

Preferred Qualifications:

• Analytical Thinker: Ability to solve complex data-driven challenges and optimize system performance.
• Effective Collaborator: Strong communication skills to work seamlessly across Product, QA, and DevOps teams in a hybrid setup.
• Agile Mindset: Experience driving tasks to completion within fast-paced Agile cycles.