We are seeking a skilled and highly motivated OpenShift Engineer with strong expertise in designing, implementing, and managing OpenShift-based solutions. The ideal candidate will have hands-on experience with container orchestration, DevSecOps principles, and AI/ML workloads within hybrid or cloud-native environments. This role will play a key part in building scalable and secure platforms that support cutting-edge AI/ML technologies and automation frameworks.

Key Responsibilities

Design and implement enterprise-grade solutions using Red Hat OpenShift, integrating with platforms like Red Hat OpenStack, AWS, Azure, and other IaaS solutions.

Create and manage modern containerized application platforms using Docker, Kubernetes, and Red Hat Enterprise Linux Atomic Host.

Develop and implement CI/CD pipelines and DevSecOps strategies, ensuring secure software delivery with tools such as Jenkins, ArgoCD, Flux, and OpenShift Pipelines.

Automate infrastructure and deployment processes using Ansible, Helm, Foreman, and GitOps methodologies.

Architect and maintain multi-cluster, multi-region OpenShift environments optimized for high-performance AI/ML workloads.

Collaborate with DevOps, data science, and infrastructure teams to align OpenShift platforms with ML frameworks such as TensorFlow, PyTorch, Kubeflow, MLFlow, and Open Data Hub.

Support GPU scheduling, storage optimization for large AI datasets, and distributed compute environments.

Integrate observability tools such as OpenTelemetry for monitoring, logging, and performance metrics.

Assess deployment strategies for on-prem, cloud, and edge deployments and implement scalable and secure infrastructure solutions.

Work with public cloud AI services like AWS SageMaker, Azure ML, and GCP Vertex AI in hybrid AI architectures.

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 such as 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.