IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
- You will be part of the Java on IBM Z team responsible for developing the Java SDK on z/OS to accelerate key technologies on the platform and enable clients to rapidly enable new Java workloads. You will also be a part of the larger z/OS Compiler team. The IBM Compiler Group consists of autonomous squads and multi-disciplinary teams of talented software developers with knowledge in new and up and coming language standards, hardware implementations, compiler optimization expertise, and proven software development skills.
- About the IBM Java on z/OS team:
- IBM Z is the future of business. It has the cloud clients want, with the privacy and security they need. Nearly 100% of all credit card transactions, 92% of the top 100 global banks, 90% of Fortune 500 companies, and 80% of the world’s corporate data trust IBM Z to have the reliability, availability, and performance capabilities that they require to operate now and grow in the future. Java is a language of choice on z/OS and the cloud, which is key towards IBM overall cloud and AI strategy.
- If you have strong C++ coding experience, a demonstrated understanding of algorithms and data structures, programming language design and a passion for developing innovative algorithms that make software run as fast as possible, this is the team for you. This position offers you a rare opportunity to influence the performance of hardware and software that are used by millions of people every second. The work is challenging and complex, involves collaboration with many of IBM’s top technical experts, and gives you the opportunity to acquire and use advanced technical skills in a highly specialized area of computer engineering.
- English Fluent (Verbal and Written)
- Bachelor's Degree in related field
- Minimum 3-5 years experience in Java
- Experience with C and C++
- Experience in debugging and problem determination-Experience in low-level programming (e.g. assembly language, embedded systems development) and low-level debugging
- Experience in compilers or compiler optimization
- Experience in benchmarking or application performance analysis
- Experience in multithreaded programming issues, parallelism, numerical computation, etc.
- Basic knowledge in one or more computer architectures, and of hardware/software interactionsorking knowledge of Unix-like operating systems
- Experience with open-source development tools and projects
- Good time management and organizational skills
- Self-starter & ability to work effectively in a team environment
- Working knowledge of IBM Z software and hardware
- Experience with installing and configuring of z/OS products which integrates with Unix System Services (USS), RACF, TCP/IP and APPC. Knowledge of other MVS subsystems and J2EE technologies is a plus (e.g. CICS, DB2, IMS, Web Services for CICS and IMS, Service Oriented Architecture)
- Experience in low-level programming (e.g. assembly language, embedded systems development) and low-level debugging
- Experience in compilers or compiler optimization
- Experience in benchmarking or application performance analysis
- Experience in multithreaded programming issues, parallelism, numerical computation, etc.
- Basic knowledge in one or more computer architectures, and of hardware/software interactions