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IBM

Application Developer-Open Source

IBM

Published 14 May 2026
Bangalore, India
Full Time

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Role Highlights

Languages used

C++
Perl
Python
JavaScript

Key skills

Integrations
Open Source
Cloud
AI

Tools, Libraries and Frameworks

IOS
Red Hat
IBM
Django

Description

The role involves developing, supporting, and maintaining applications using various open source platforms. The individual will analyze and resolve technical issues to ensure minimal disruption for clients. Collaboration with cross-functional teams is required to design and implement effective solutions. The position also entails providing technical guidance and support to clients regarding platform implementation, customization, and integration. The focus remains on delivering high-quality results that meet specific client needs.

Required Qualifications and Skills

The role requires expertise in developing, supporting, and maintaining applications using open source platforms such as C, C++, Perl, Python, Node JS, and Django. Candidates must possess experience in analyzing and resolving technical issues and providing guidance to clients on platform implementation and integration. The position necessitates the ability to collaborate effectively with cross-functional teams to design and implement solutions. No specific degree or professional qualification requirements are mentioned in the text.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

IBM

Size

305978

Website

ibm.com

HQ

Armonk, New York, US

Public/Private

Public Company

Description

IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.

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