Software Developer

At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day. Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You'll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress.

A Software Developer for OpenShift AI on Z team is responsible for designing, developing, deploying, and maintaining cloud native applications. Your primary responsibilities will include:

* Design and Develop Solutions: Design, code, debug, test, and deliver creative solutions to problems and requirements in AI frameworks.

* Collaborate with Teams: Work in an agile, collaborative environment to understand requirements and deliver high-quality solutions that meet client needs.

* Apply Design Thinking: Employ IBM's Design Thinking to create solutions that provide a great user experience along with world-class quality, resiliency, performance, security, and stability.

* Work on leading-edge projects using technologies like machine learning, LLM's, and other AI-related areas to drive innovation and solution delivery.

* Ensure Solution Quality: Ensure that solutions meet the required standards for quality, resiliency, performance, security, and stability.

• 5-10 years of industrial experience in working with Unix/Linux based products developed using Python/GoLang/C/C++ programming language.
• Experience in software engineering with very good understanding of fundamentals of containers and Kubernetes platform
• Must have good knowledge of virtualization, Linux Operating systems internals and Hypervisors
• Expertise to Translate Technical specification or customer requirements, Preparing of HLD/LLD and Working closely with Team members in translating the Specifications /design into product deliverables.
• Understanding of AI/ML model deployments, AI lifecycle, inference optimization, and monitoring.
• Hands-on experience deploying AI/ML models on Kubernetes/OpenShift.
• Experience working with Red Hat OpenShift and Pytorch is preferable.
• Experience in developing deployment scripts for Kubernetes based micro-services.
• Experience developing deployment scripts and automation for Kubernetes-based microservices.
• Knowledge of enterprise servers, firmware, patches, hotfixes, and security configurations.
• Strong operational experience with network operations, incident/change/problem management.
• Excellent analytical, troubleshooting, communication, and documentation skills.
• Experience working with global cross-functional teams.

• Understanding of systems hardware & architecture, especially for enterprise platforms (IBM Z, LinuxONE).
• Strong grasp of operating system internals: Process Management, Memory Management, Virtualization, Scheduling, Networking, Storage, and Security.
• Experience with AI workload optimization on specialized hardware (GPUs, accelerators, mainframe AI processors).
• Familiarity with DevOps/MLOps practices for model CI/CD pipelines.
• Engineering mindset with strong problem‑solving skills.
• Excellent presentation and technical communication abilities.