AI Platform Engineer, NTT

• Strong experience with Operating Systems (Linux distributions such as Ubuntu, CentOS, RedHat, or similar)
• Hands-on experience with RedHat OpenShift administration, including cluster setup, networking, ingress, storage, and security
• Experience with GPU resource management in OpenShift, including configuration, scheduling, and monitoring using NVIDIA Enterprise Suite, RUN:AI, and related tools to support high-performance AI/ML workloads
• Good understanding of Web Services architecture, API management, and common protocols (HTTP, REST, SOAP)
• Experience with containerization tools like Docker
• Familiarity with CI/CD pipelines and DevOps tooling (e.g., Jenkins, GitLab CI/CD, CircleCI)
• Basic scripting and automation skills using Shell, Python, or similar languages
• Knowledge of monitoring and logging tools
• Ability to troubleshoot and resolve complex infrastructure and deployment issues
• Strong collaboration, communication, and documentation skills
• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)

Desirable

• We are seeking a skilled and forward-thinking Systems Engineer with deep expertise in Linux-based operating systems, RedHat OpenShift & Kubernetes services
• The ideal candidate will have hands-on experience managing large-scale, GPU-accelerated environments and a strong grasp of DevOps practices
• You will play a pivotal role in deploying and maintaining AI/ML infrastructure, ensuring high availability, performance, and security across OpenShift clusters, containerized workloads, and high-throughput networking fabrics such as RoCE and InfiniBand
• Your contributions will directly support the scalability and reliability of AI and data-driven platforms
• Manage, configure, and optimize Linux/Unix-based Operating Systems to support enterprise applications and services
• Design, deploy, and maintain Kubernetes clusters in production, ensuring reliability, scalability, and security
• Design and manage RedHat OpenShift clusters with a focus on integrating AI/ML workflows, leveraging platforms such as OpenShift AI, Mistral AI or similar to support scalable and reproducible AI and machine learning operations
• Architect and operate OpenShift environments optimized for GPU workloads, leveraging NVIDIA Enterprise, RUN:AI, and related orchestration tools to enable efficient resource allocation and accelerate AI/ML model training and inference at scale
• Implement, monitor, and troubleshoot Web Services (REST, SOAP, microservices) ensuring high availability and performance
• Collaborate with development teams to automate CI/CD pipelines using tools like Jenkins, GitLab CI, or similar
• Monitor system health and performance metrics; proactively address issues to minimize downtime
• Implement security best practices for OS, container orchestration, and web services
• Manage container lifecycle, including image creation, registry management, and deployment automation
• Provide support for incident management and root cause analysis
• Collaborate with cross-functional teams to enhance overall system architecture and deployment workflows
• Document system configurations, procedures, and best practices