Software Engineer at Orange Business, Bangalore | 6-12 LPA

About Orange Business

Orange Business is a network and digital integrator that understands the full value chain of the digital world, allowing customers to focus on strategic initiatives that shape their businesses. The company operates globally with more than 30,000 employees across Asia, the Americas, Africa, and Europe.

Teams work together to deliver consistent and sustainable digital solutions for customers worldwide. Employees gain opportunities to develop their skills while working on complex challenges in modern digital environments.

About the Role

The Software Engineer will contribute to building cloud-native, API-first and microservices-driven platforms. The role focuses on full stack development and offers the opportunity to work in an Agile environment while learning through hands-on experience.

You will collaborate with experienced engineers and system specialists to develop scalable and secure CPQ (Configure, Price, Quote) platforms that support sales and pre-sales channels. The work involves modern frameworks, distributed systems, and enterprise-level architectures.

Key Responsibilities

• Assist in developing and refactoring Telco CPQ systems using backend technologies such as .NET, C#, ASP.NET Core MVC, Web API, Entity Framework Core, LINQ, Java Spring Boot, or Quarkus.
• Support front end development using frameworks including Blazor, React, Angular, or Vue/Nuxt.js to build modular and user friendly interfaces.
• Work with senior engineers to implement microservices and API-first designs using established design patterns.
• Participate in cloud native deployments using Docker and Kubernetes.
• Collaborate with engineers to integrate AI and machine learning components into CPQ workflows.
• Write automated tests using frameworks such as Playwright and Robot Framework to support quality assurance.
• Assist in developing Python based APIs using the FastAPI framework.
• Support the creation and maintenance of CI/CD pipelines and DevOps practices.
• Work with databases including MongoDB, MySQL, PostgreSQL, GraphDB and VectorDB to support application data requirements.
• Contribute to building and maintaining data pipelines for analytics and AI workloads.
• Apply best practices in system design to build scalable, resilient and secure applications.
• Collaborate with cross functional teams to understand requirements and deliver solutions aligned with business goals.

Technical Environment

The engineering stack includes technologies such as .NET, C#, ASP.NET Core, Python with FastAPI, and modern front end frameworks. The platform uses microservices architecture, REST or gRPC APIs, containerization with Docker and Kubernetes, and cloud platforms including Azure, AWS, or GCP.

The role also involves exposure to AI and machine learning concepts, integration of ML models and large language models, and the use of DevOps tools like Azure DevOps and GitHub Actions.