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Red Hat OpenShift Resident Engineer
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Job Description
Job Title : Red Hat OpenShift Resident Engineer Dell AI : 9+ : Duration : 1yr
Role Overview
We are seeking an experienced Red Hat OpenShift Resident Engineer to be embedded on-site (or dedicated remote/hybrid) with the customer to operate, manage, and optimize a newly deployed Dell AI Factory platform.
The Resident Engineer will act as a trusted technical advisor, responsible for the day-to-day stability, performance, and lifecycle management of the AI infrastructure stack, with a strong focus on Red Hat OpenShift, Kubernetes, and supporting platforms.
This role will ensure the AI Factory environment is production-ready, highly available, secure, and scalable, while enabling data science and AI workloads to run Responsibilities : Operations & Management :
Role Overview
We are seeking an experienced Red Hat OpenShift Resident Engineer to be embedded on-site (or dedicated remote/hybrid) with the customer to operate, manage, and optimize a newly deployed Dell AI Factory platform.
The Resident Engineer will act as a trusted technical advisor, responsible for the day-to-day stability, performance, and lifecycle management of the AI infrastructure stack, with a strong focus on Red Hat OpenShift, Kubernetes, and supporting platforms.
This role will ensure the AI Factory environment is production-ready, highly available, secure, and scalable, while enabling data science and AI workloads to run Responsibilities : Operations & Management :
- Act as the primary technical owner for the customers Dell AI Factory environment running on Red Hat OpenShift
- Perform day-to-day administration of OpenShift clusters (bare metal or virtualized)
- Manage cluster lifecycle activities including installation, configuration, upgrades, patching, and scaling
- Monitor platform health, capacity, and performance; proactively identify and resolve issues
- Manage Kubernetes resources, namespaces, networking, and storage & Infrastructure Enablement :
- Support AI/ML workloads deployed on the Dell AI Factory platform (training, inference, GPU workloads)
- Work with data science and application teams to onboard workloads to OpenShift
- Optimize platform configurations for performance, availability, and resource efficiency
- Assist in integrating AI platforms (e.g., model pipelines, monitoring, CI/CD workflows) as Networking & Compute :
- Manage and integrate enterprise storage solutions (e.g., Red Hat Ceph or equivalent)
- Troubleshoot networking issues across container, cluster, and infrastructure layers
- Ensure optimal configuration of compute resources including GPU-enabled & DevOps :
- Use Ansible and automation tools for repeatable operations and configuration management
- Support CI/CD pipelines and GitOps-style operations where applicable
- Promote infrastructure-as-code and operational best & Reliability :
- Implement and enforce security best practices across OpenShift and Kubernetes
- Manage role-based access control (RBAC), certificates, and secrets
- Support platform hardening, compliance, backup, and disaster recovery & Knowledge Transfer :
- Act as a trusted advisor to customer IT and engineering teams
- Provide hands-on knowledge transfer, documentation, and operational runbooks
- Participate in architecture discussions and provide recommendations for platform evolution
- Liaise with Red Hat and Dell support when Skills & Experience : Requirements :
- Strong experience administering Red Hat OpenShift in production environments
- Solid hands-on knowledge of Kubernetes, containers, and cluster operations
- Experience with bare-metal OpenShift and/or virtualized environments
- Experience with enterprise storage, preferably Red Hat Ceph
- Familiarity with AI/ML platforms and GPU-based workloads is highly desirable
- Experience with Linux system administration
- Hands-on experience with Ansible or similar automation (Preferred) :
- Red Hat Certified OpenShift Administrator (RHCOA or equivalent)
- Red Hat Certified Engineer (RHCE)
- Red Hat Certified System Administrator (RHCSA)
- Additional OpenStack or virtualization certifications are a Experience :
- 8+ years of experience in enterprise infrastructure, cloud, or platform engineering
- Previous experience working as a Resident Engineer, Consultant, or Embedded Engineer
- Strong troubleshooting skills across application, platform, and infrastructure layers
- Experience working in customer-facing roles within enterprise environments
Required Skills
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