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IBM

System Development Engineer

IBM

Published 16 May 2026
Bangalore, India
Full Time

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Role Highlights

Languages used

Java
C++

Key skills

AI
NLP
Machine Learning
QA
Site Reliability
Cloud Security
Infrastructure
Automation
Backend
Agile
Devops
Storage
Database
Authentication

Tools, Libraries and Frameworks

IOS
IBM
SSL
SSO

Description

The role involves designing, developing, and unit testing software offerings for IBM Z systems. The developer will collaborate with teams to understand client requirements and create solutions that address complex technical challenges. Responsibilities include coding, debugging, and testing to ensure high standards of quality and system resiliency. The position requires the application of agile methodologies and the use of DevOps tooling to streamline delivery processes. Additionally, the developer will engage with mainframe storage solutions and database management technologies. The work supports strategic initiatives related to cloud integration and artificial intelligence.

Required Qualifications and Skills

The role requires proficiency in programming languages including HLASM, Assembler, Java, and C++. Candidates must possess experience with mainframe technologies such as z/OS, zTPF, zVM, zVSE, CICS, IMS, and MVS. Expertise in agile practices, DevOps tooling, and mainframe storage or database management is necessary. Furthermore, the position requires knowledge of security features like RACF, SSL, SSO, and Multi-Factor Authentication to ensure solution quality and resiliency.

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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