OpenShift Engineer Red Hat | IaaS & Container Platform Specialist

3 - 7 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Job Type

Full Time

Job Description

You are a skilled and highly motivated OpenShift Engineer with expertise in designing, implementing, and managing OpenShift-based solutions. You have hands-on experience with container orchestration, DevSecOps principles, and AI/ML workloads within hybrid or cloud-native environments. Your role involves building scalable and secure platforms that support cutting-edge AI/ML technologies and automation frameworks. You will design and implement enterprise-grade solutions using Red Hat OpenShift, integrating with platforms like Red Hat OpenStack, AWS, Azure, and other IaaS solutions. Your responsibilities include creating and managing modern containerized application platforms using Docker, Kubernetes, and Red Hat Enterprise Linux Atomic Host. You will develop CI/CD pipelines and DevSecOps strategies, ensuring secure software delivery with tools such as Jenkins, ArgoCD, Flux, and OpenShift Pipelines. Automation of infrastructure and deployment processes using Ansible, Helm, Foreman, and GitOps methodologies is also part of your role. As an OpenShift Engineer, you will architect and maintain multi-cluster, multi-region OpenShift environments optimized for high-performance AI/ML workloads. Collaboration with DevOps, data science, and infrastructure teams is essential to align OpenShift platforms with ML frameworks such as TensorFlow, PyTorch, Kubeflow, MLFlow, and Open Data Hub. Supporting GPU scheduling, storage optimization for large AI datasets, and distributed compute environments is also a key responsibility. Integration of observability tools like OpenTelemetry for monitoring, logging, and performance metrics is part of your duties. You will assess deployment strategies for on-prem, cloud, and edge deployments and implement scalable and secure infrastructure solutions. Working with public cloud AI services like AWS SageMaker, Azure ML, and GCP Vertex AI in hybrid AI architectures is also required. Required Skills & Qualifications: - Proven experience with OpenShift, Docker, Kubernetes, and container lifecycle management. - Hands-on experience with DevOps and CI/CD tools including Jenkins, Helm, ArgoCD, and Ansible. - Familiarity with DevSecOps practices and observability platforms like OpenTelemetry. - Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML offerings. - Knowledge of AI/ML infrastructure design and deployment within Kubernetes/OpenShift environments. - Strong scripting and automation skills. - Solid understanding of networking fundamentals, security, resource management, and cluster operations. - Excellent communication and collaboration skills. Preferred Qualifications: - Experience with GPU-based compute environments and AI/ML pipelines. - Familiarity with Open Data Hub and hybrid AI deployment strategies. - Certifications such as Red Hat Certified Specialist in OpenShift, CKA/CKS, or equivalent cloud certifications.,

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