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Introduction

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.

Your role and responsibilities

As a Back-End Developer specializing in Artificial Intelligence for IBM Z, you will work in an agile, collaborative environment to deliver creative solutions to client problems and requirements in various AI-related areas. You will employ IBM's Design Thinking to create solutions that provide a great user experience along with world-class quality, resiliency, performance, security, and stability. Your primary responsibilities will include: • Design and Code Solutions: Design, code, debug, test, and deliver creative solutions to client problems and requirements in various AI-related areas for IBM Z, leveraging DevOps methodologies. • Apply IBM 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. • Collaborate with Team: Work in an agile, collaborative environment to understand requirements and deliver solutions that meet client needs. • Leverage AI Technologies: Work on leading-edge projects using technologies like machine learning, deep learning, and natural language processing to develop next-generation AI solutions. • Deliver High-Quality Solutions: Ensure solutions meet the highest standards of quality, resiliency, performance, security, and stability.

Required technical and professional expertise

  • 5-8 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, VLLM 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.

Preferred technical and professional experience

  • 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.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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